
R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> source("pscore_estimation_core1.R")
Loading required package: gbm
Loading required package: survival
Loading required package: splines
Loading required package: lattice
Loaded gbm 1.6-3.1 
Loading required package: survey

Attaching package: 'survey'

The following object(s) are masked from 'package:graphics':

    dotchart

Loading required package: xtable
Loading required package: MASS
Loading required package: mlbench
Loading required package: nnet
Loading required package: class

Attaching package: 'ipred'

The following object(s) are masked from 'package:survey':

    cv

randomForest 4.5-36
Type rfNews() to see new features/changes/bug fixes.
> library(Matching)
Loading required package: rgenoud
##  rgenoud (Version 5.6-7, Build Date: 2010-06-01)
##  See http://sekhon.berkeley.edu/rgenoud for additional documentation.
## 
##  Matching (Version 4.7-10, Build Date: 2010/08/13)
##  See http://sekhon.berkeley.edu/matching for additional documentation.
##  Please cite software as:
##   Jasjeet S. Sekhon. Forthcoming. ``Multivariate and Propensity Score Matching
##   Software with Automated Balance Optimization: The Matching package for R.''
##   Journal of Statistical Software. 
##
> 
> load(file="RData.simdata.A.obs1000.reps1000")
> dta <- simdata.A.obs1000.reps1000
> rm(simdata.A.obs1000.reps1000)
> gc()
           used (Mb) gc trigger  (Mb) max used (Mb)
Ncells   200675 10.8     407500  21.8   350000 18.7
Vcells 12195008 93.1   13300721 101.5 12195672 93.1
> 
> #true estimate
> g1 <- -0.4
> 
> sims <- dim(dta)[2]
> nobs <- length(dta[1,2]$w1)
> 
> true.est <- matrix(0, nrow=sims, ncol=1)
> 
> logit.pscore <- list()
> logit.est <- matrix(0, nrow=sims, ncol=1)
> logit.nSE <- matrix(0, nrow=sims, ncol=1)
> logit.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> boosting.pscore <- list()
> boosting.desc <- list()
> boosting.est <- matrix(0, nrow=sims, ncol=1)
> boosting.nSE <- matrix(0, nrow=sims, ncol=1)
> boosting.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> forest.pscore <- list()
> forest.est <- matrix(0, nrow=sims, ncol=1)
> forest.nSE <- matrix(0, nrow=sims, ncol=1)
> forest.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> nnet.pscore <- list()
> nnet.est <- matrix(0, nrow=sims, ncol=1)
> nnet.nSE <- matrix(0, nrow=sims, ncol=1)
> nnet.aiSE <- matrix(0, nrow=sims, ncol=1)
> 
> count <- 0
> for (s in 1:sims)
+   {
+     cat("\n\ns:",s,"\n")
+     count <- count+1
+ 
+     sdta <- as.data.frame(dta[,s])
+ 
+     #true model
+ #    lm1 <- lm(y.a~ z.a+ w1 + w2 + w3 + w4 + w8 + w9 + w10, data=sdta)
+ #    true.est[s] <- lm1$coef[2]
+ #    cat("truth:",mean(true.est[1:s]),"\n")
+ 
+     #logit
+     logit.ps <- glm(z.a ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10, data=sdta, family=binomial(link="logit"))$fitted
+     logit.pscore[[s]] <- logit.ps
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=logit.ps, estimand="ATT", M=1)
+     logit.est[s] <-  m1$est
+     logit.nSE[s] <- m1$se.standard
+     logit.aiSE[s] <- m1$se
+ 
+     cat("logit",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("logit mean",s,":",mean(logit.est[1:s]),"\n")
+         rmse <- sqrt(mean((logit.est[1:s]-g1)^2))
+         cat("logit RMSE",s,":",rmse,"\n")
+       }
+ 
+     #boosting!
+     ps.model <- ps(z.a ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10,
+                    data=sdta, title="none", stop.method=stop.methods["ks.stat.mean"],
+                    plots="none", pdf.plots=F, n.trees=20000, interaction.depth=4,
+                    shrinkage=0.0005, verbose=FALSE)
+ 
+     boosting.pscore[[s]] <- ps.model$ps
+     boosting.desc[[s]] <- ps.model$desc
+ 
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=ps.model$ps, estimand="ATT", M=1)
+     boosting.est[s] <-  m1$est
+     boosting.nSE[s] <- m1$se.standard
+     boosting.aiSE[s] <- m1$se
+ 
+     cat("\nboosting",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("boosting mean",s,":",mean(boosting.est[1:s]),"\n")
+         rmse <- sqrt(mean((boosting.est[1:s]-g1)^2))
+         cat("boosting RMSE",s,":",rmse,"\n")
+       }    
+ 
+ 
+     #Random Forest
+     ps1 <- 1
+     while (max(ps1)> .999) {
+ #      gc(verbose=TRUE)
+       fps.model <- randomForest(as.factor(z.a) ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10, data=sdta)
+       ps1 <- fps.model$votes[, 2]
+     }
+     
+     forest.pscore[[s]] <- ps1
+ 
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=ps1, estimand="ATT", M=1)
+     forest.est[s] <-  m1$est
+     forest.nSE[s] <- m1$se.standard
+     forest.aiSE[s] <- m1$se
+ 
+     cat("\nforest",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("forest mean",s,":",mean(forest.est[1:s]),"\n")
+         rmse <- sqrt(mean((forest.est[1:s]-g1)^2))
+         cat("forest RMSE",s,":",rmse,"\n")
+       }
+ 
+     n1 <- nnet(z.a ~ w1+w2+w3+w4+w5+w6+w7+w8+w9+w10, size=40, data=sdta, trace=FALSE)
+     nnet.pscore[[s]] <- n1$fitted.values
+ 
+     m1 <- Match(Y=sdta$y.a, Tr=sdta$z.a, X=n1$fitted.values, estimand="ATT", M=1)
+     nnet.est[s] <-  m1$est
+     nnet.nSE[s] <- m1$se.standard
+     nnet.aiSE[s] <- m1$se
+ 
+     cat("\nnnet",s,":",m1$est,"\n")
+     if(s>1)
+       {
+         cat("nnet mean",s,":",mean(nnet.est[1:s]),"\n")
+         rmse <- sqrt(mean((nnet.est[1:s]-g1)^2))
+         cat("nnet RMSE",s,":",rmse,"\n")
+       }    
+ 
+     if (count>50)
+       {
+         save.image("RData.sims.A.nobs1000")
+         count <- 0
+       }
+   }#end of sims loop


s: 1 
logit 1 : -0.4179028 

boosting 1 : -0.5750439 

forest 1 : -0.3536402 

nnet 1 : -0.615352 


s: 2 
logit 2 : -0.3417565 
logit mean 2 : -0.3798297 
logit RMSE 2 : 0.04308606 

boosting 2 : -0.8307465 
boosting mean 2 : -0.7028952 
boosting RMSE 2 : 0.3287727 

forest 2 : -0.3604231 
forest mean 2 : -0.3570317 
forest RMSE 2 : 0.04310198 

nnet 2 : -0.3353718 
nnet mean 2 : -0.4753619 
nnet RMSE 2 : 0.1589863 


s: 3 
logit 3 : -0.3378063 
logit mean 3 : -0.3658219 
logit RMSE 3 : 0.05026886 

boosting 3 : -0.4610131 
boosting mean 3 : -0.6222678 
boosting RMSE 3 : 0.2707431 

forest 3 : -0.3966008 
forest mean 3 : -0.3702214 
forest RMSE 3 : 0.03524729 

nnet 3 : -0.1307561 
nnet mean 3 : -0.3604933 
nnet RMSE 3 : 0.2025221 


s: 4 
logit 4 : -0.4493338 
logit mean 4 : -0.3866998 
logit RMSE 4 : 0.05003672 

boosting 4 : -0.3806607 
boosting mean 4 : -0.5618661 
boosting RMSE 4 : 0.2346697 

forest 4 : -0.4163064 
forest mean 4 : -0.3817426 
forest RMSE 4 : 0.03159515 

nnet 4 : -0.3849155 
nnet mean 4 : -0.3665989 
nnet RMSE 4 : 0.1755514 


s: 5 
logit 5 : -0.4032982 
logit mean 5 : -0.3900195 
logit RMSE 5 : 0.0447785 

boosting 5 : -0.4834814 
boosting mean 5 : -0.5461891 
boosting RMSE 5 : 0.2131894 

forest 5 : -0.3911692 
forest mean 5 : -0.3836279 
forest RMSE 5 : 0.02853418 

nnet 5 : -0.597834 
nnet mean 5 : -0.4128459 
nnet RMSE 5 : 0.1802284 


s: 6 
logit 6 : -0.2636270 
logit mean 6 : -0.3689541 
logit RMSE 6 : 0.06906902 

boosting 6 : -0.1977553 
boosting mean 6 : -0.4881168 
boosting RMSE 6 : 0.2114047 

forest 6 : -0.3277928 
forest mean 6 : -0.3743221 
forest RMSE 6 : 0.039338 

nnet 6 : -0.5109469 
nnet mean 6 : -0.4291961 
nnet RMSE 6 : 0.1706461 


s: 7 
logit 7 : -0.3909971 
logit mean 7 : -0.3721031 
logit RMSE 7 : 0.06403596 

boosting 7 : -0.2774392 
boosting mean 7 : -0.45802 
boosting RMSE 7 : 0.2011299 

forest 7 : -0.3204555 
forest mean 7 : -0.3666269 
forest RMSE 7 : 0.0472262 

nnet 7 : -0.4375494 
nnet mean 7 : -0.4303894 
nnet RMSE 7 : 0.1586238 


s: 8 
logit 8 : -0.4068481 
logit mean 8 : -0.3764462 
logit RMSE 8 : 0.05994907 

boosting 8 : -0.3646468 
boosting mean 8 : -0.4463484 
boosting RMSE 8 : 0.1885546 

forest 8 : -0.3438876 
forest mean 8 : -0.3637845 
forest RMSE 8 : 0.04842623 

nnet 8 : -0.5479307 
nnet mean 8 : -0.4450821 
nnet RMSE 8 : 0.1573269 


s: 9 
logit 9 : -0.4254099 
logit mean 9 : -0.3818866 
logit RMSE 9 : 0.05715164 

boosting 9 : -0.4831379 
boosting mean 9 : -0.4504361 
boosting RMSE 9 : 0.1799180 

forest 9 : -0.446839 
forest mean 9 : -0.3730127 
forest RMSE 9 : 0.04825244 

nnet 9 : -0.2717256 
nnet mean 9 : -0.4258202 
nnet RMSE 9 : 0.1543691 


s: 10 
logit 10 : -0.3735969 
logit mean 10 : -0.3810577 
logit RMSE 10 : 0.05485792 

boosting 10 : -0.4009141 
boosting mean 10 : -0.4454839 
boosting RMSE 10 : 0.1706855 

forest 10 : -0.4117339 
forest mean 10 : -0.3768849 
forest RMSE 10 : 0.04592643 

nnet 10 : -0.2749343 
nnet mean 10 : -0.4107316 
nnet RMSE 10 : 0.1516937 


s: 11 
logit 11 : -0.3834209 
logit mean 11 : -0.3812725 
logit RMSE 11 : 0.0525433 

boosting 11 : -0.5310757 
boosting mean 11 : -0.453265 
boosting RMSE 11 : 0.1674722 

forest 11 : -0.3485706 
forest mean 11 : -0.3743108 
forest RMSE 11 : 0.04645365 

nnet 11 : -0.3490022 
nnet mean 11 : -0.4051199 
nnet RMSE 11 : 0.1454493 


s: 12 
logit 12 : -0.3379779 
logit mean 12 : -0.3776646 
logit RMSE 12 : 0.0533975 

boosting 12 : -0.7040633 
boosting mean 12 : -0.4741648 
boosting RMSE 12 : 0.1827956 

forest 12 : -0.3991599 
forest mean 12 : -0.3763816 
forest RMSE 12 : 0.04447664 

nnet 12 : -0.1374824 
nnet mean 12 : -0.3828167 
nnet RMSE 12 : 0.1585418 


s: 13 
logit 13 : -0.5099616 
logit mean 13 : -0.3878413 
logit RMSE 13 : 0.05968318 

boosting 13 : -0.428134 
boosting mean 13 : -0.470624 
boosting RMSE 13 : 0.1757976 

forest 13 : -0.2986669 
forest mean 13 : -0.3704035 
forest RMSE 13 : 0.05114568 

nnet 13 : -0.2055258 
nnet mean 13 : -0.369179 
nnet RMSE 13 : 0.1615898 


s: 14 
logit 14 : -0.3920945 
logit mean 14 : -0.3881451 
logit RMSE 14 : 0.05755095 

boosting 14 : -0.2368258 
boosting mean 14 : -0.4539241 
boosting RMSE 14 : 0.1749261 

forest 14 : -0.3715389 
forest mean 14 : -0.3704846 
forest RMSE 14 : 0.04986875 

nnet 14 : -0.4044331 
nnet mean 14 : -0.3716971 
nnet RMSE 14 : 0.1557163 


s: 15 
logit 15 : -0.3187713 
logit mean 15 : -0.3835202 
logit RMSE 15 : 0.05942372 

boosting 15 : -0.4056839 
boosting mean 15 : -0.4507081 
boosting RMSE 15 : 0.1690011 

forest 15 : -0.3356114 
forest mean 15 : -0.3681598 
forest RMSE 15 : 0.05096559 

nnet 15 : -0.3805347 
nnet mean 15 : -0.3722863 
nnet RMSE 15 : 0.1505202 


s: 16 
logit 16 : -0.557609 
logit mean 16 : -0.3944007 
logit RMSE 16 : 0.06973534 

boosting 16 : -0.3763076 
boosting mean 16 : -0.4460581 
boosting RMSE 16 : 0.1637417 

forest 16 : -0.4036724 
forest mean 16 : -0.3703793 
forest RMSE 16 : 0.04935576 

nnet 16 : -0.6311944 
nnet mean 16 : -0.3884681 
nnet RMSE 16 : 0.1567832 


s: 17 
logit 17 : -0.3137885 
logit mean 17 : -0.3896588 
logit RMSE 17 : 0.07081072 

boosting 17 : -0.3144842 
boosting mean 17 : -0.4383184 
boosting RMSE 17 : 0.1602011 

forest 17 : -0.3424279 
forest mean 17 : -0.3687351 
forest RMSE 17 : 0.04987656 

nnet 17 : -0.3216208 
nnet mean 17 : -0.3845359 
nnet RMSE 17 : 0.1532854 


s: 18 
logit 18 : -0.4147516 
logit mean 18 : -0.3910529 
logit RMSE 18 : 0.06890344 

boosting 18 : -0.4430489 
boosting mean 18 : -0.4385812 
boosting RMSE 18 : 0.1560178 

forest 18 : -0.4031927 
forest mean 18 : -0.3706494 
forest RMSE 18 : 0.04847714 

nnet 18 : -0.5412464 
nnet mean 18 : -0.393242 
nnet RMSE 18 : 0.1526415 


s: 19 
logit 19 : -0.3590703 
logit mean 19 : -0.3893696 
logit RMSE 19 : 0.06771983 

boosting 19 : -0.2944552 
boosting mean 19 : -0.4309956 
boosting RMSE 19 : 0.1537749 

forest 19 : -0.2953849 
forest mean 19 : -0.3666881 
forest RMSE 19 : 0.05293736 

nnet 19 : -0.431474 
nnet mean 19 : -0.3952542 
nnet RMSE 19 : 0.1487457 


s: 20 
logit 20 : -0.3175101 
logit mean 20 : -0.3857766 
logit RMSE 20 : 0.06853398 

boosting 20 : -0.4288722 
boosting mean 20 : -0.4308895 
boosting RMSE 20 : 0.1500202 

forest 20 : -0.3221178 
forest mean 20 : -0.3644596 
forest RMSE 20 : 0.05445666 

nnet 20 : -0.3094975 
nnet mean 20 : -0.3909664 
nnet RMSE 20 : 0.1463849 


s: 21 
logit 21 : -0.2379434 
logit mean 21 : -0.3787369 
logit RMSE 21 : 0.07565602 

boosting 21 : -0.4023541 
boosting mean 21 : -0.4295307 
boosting RMSE 21 : 0.1464056 

forest 21 : -0.2587513 
forest mean 21 : -0.3594259 
forest RMSE 21 : 0.0614359 

nnet 21 : -0.1542301 
nnet mean 21 : -0.3796932 
nnet RMSE 21 : 0.1525925 


s: 22 
logit 22 : -0.5360824 
logit mean 22 : -0.385889 
logit RMSE 22 : 0.07940658 

boosting 22 : -0.6506969 
boosting mean 22 : -0.4395837 
boosting RMSE 22 : 0.1526993 

forest 22 : -0.4217211 
forest mean 22 : -0.3622575 
forest RMSE 22 : 0.06020177 

nnet 22 : -0.4966573 
nnet mean 22 : -0.3850098 
nnet RMSE 22 : 0.1505016 


s: 23 
logit 23 : -0.3031688 
logit mean 23 : -0.3822925 
logit RMSE 23 : 0.08024289 

boosting 23 : -0.6064191 
boosting mean 23 : -0.4468374 
boosting RMSE 23 : 0.1554215 

forest 23 : -0.4430789 
forest mean 23 : -0.3657714 
forest RMSE 23 : 0.05955975 

nnet 23 : -0.2982725 
nnet mean 23 : -0.3812386 
nnet RMSE 23 : 0.1487140 


s: 24 
logit 24 : -0.4633932 
logit mean 24 : -0.3856717 
logit RMSE 24 : 0.07961205 

boosting 24 : -0.7658161 
boosting mean 24 : -0.4601282 
boosting RMSE 24 : 0.1694852 

forest 24 : -0.3849539 
forest mean 24 : -0.3665707 
forest RMSE 24 : 0.05838655 

nnet 24 : -0.4468131 
nnet mean 24 : -0.3839709 
nnet RMSE 24 : 0.1458961 


s: 25 
logit 25 : -0.3951013 
logit mean 25 : -0.3860488 
logit RMSE 25 : 0.07800971 

boosting 25 : -0.6403772 
boosting mean 25 : -0.4673381 
boosting RMSE 25 : 0.1728800 

forest 25 : -0.3871202 
forest mean 25 : -0.3673927 
forest RMSE 25 : 0.05726487 

nnet 25 : -0.3203093 
nnet mean 25 : -0.3814244 
nnet RMSE 25 : 0.1438342 


s: 26 
logit 26 : -0.3864577 
logit mean 26 : -0.3860646 
logit RMSE 26 : 0.0765409 

boosting 26 : -0.4088848 
boosting mean 26 : -0.4650899 
boosting RMSE 26 : 0.1695317 

forest 26 : -0.3265711 
forest mean 26 : -0.3658226 
forest RMSE 26 : 0.05796996 

nnet 26 : -0.2712734 
nnet mean 26 : -0.3771878 
nnet RMSE 26 : 0.1432826 


s: 27 
logit 27 : -0.3942133 
logit mean 27 : -0.3863664 
logit RMSE 27 : 0.07511836 

boosting 27 : -0.6074094 
boosting mean 27 : -0.470361 
boosting RMSE 27 : 0.1710842 

forest 27 : -0.4092583 
forest mean 27 : -0.3674314 
forest RMSE 27 : 0.05691421 

nnet 27 : -0.4758995 
nnet mean 27 : -0.3808438 
nnet RMSE 27 : 0.1413609 


s: 28 
logit 28 : -0.339879 
logit mean 28 : -0.3847061 
logit RMSE 28 : 0.07463466 

boosting 28 : -0.6778761 
boosting mean 28 : -0.4777723 
boosting RMSE 28 : 0.1760174 

forest 28 : -0.236714 
forest mean 28 : -0.3627629 
forest RMSE 28 : 0.06384173 

nnet 28 : -0.5784179 
nnet mean 28 : -0.3879 
nnet RMSE 28 : 0.1428500 


s: 29 
logit 29 : -0.4092943 
logit mean 29 : -0.385554 
logit RMSE 29 : 0.07335687 

boosting 29 : -0.5702982 
boosting mean 29 : -0.4809628 
boosting RMSE 29 : 0.1758233 

forest 29 : -0.3171184 
forest mean 29 : -0.3611889 
forest RMSE 29 : 0.06459177 

nnet 29 : -0.6083684 
nnet mean 29 : -0.3955024 
nnet RMSE 29 : 0.1456008 


s: 30 
logit 30 : -0.4653731 
logit mean 30 : -0.3882146 
logit RMSE 30 : 0.07310479 

boosting 30 : -0.380494 
boosting mean 30 : -0.4776139 
boosting RMSE 30 : 0.1729048 

forest 30 : -0.2815356 
forest mean 30 : -0.3585338 
forest RMSE 30 : 0.06708816 

nnet 30 : -0.4500535 
nnet mean 30 : -0.3973208 
nnet RMSE 30 : 0.1434450 


s: 31 
logit 31 : -0.4590837 
logit mean 31 : -0.3905007 
logit RMSE 31 : 0.07269472 

boosting 31 : -0.4884551 
boosting mean 31 : -0.4779636 
boosting RMSE 31 : 0.1708335 

forest 31 : -0.3450532 
forest mean 31 : -0.358099 
forest RMSE 31 : 0.066731 

nnet 31 : -0.4865197 
nnet mean 31 : -0.4001981 
nnet RMSE 31 : 0.1419654 


s: 32 
logit 32 : -0.4091403 
logit mean 32 : -0.3910832 
logit RMSE 32 : 0.0715681 

boosting 32 : -0.5387981 
boosting mean 32 : -0.4798646 
boosting RMSE 32 : 0.1699238 

forest 32 : -0.3303039 
forest mean 32 : -0.3572304 
forest RMSE 32 : 0.06682565 

nnet 32 : -0.260067 
nnet mean 32 : -0.395819 
nnet RMSE 32 : 0.1419023 


s: 33 
logit 33 : -0.3570969 
logit mean 33 : -0.3900533 
logit RMSE 33 : 0.07087001 

boosting 33 : -0.6250888 
boosting mean 33 : -0.4842654 
boosting RMSE 33 : 0.1718558 

forest 33 : -0.382517 
forest mean 33 : -0.3579966 
forest RMSE 33 : 0.06587569 

nnet 33 : -0.03989154 
nnet mean 33 : -0.3850334 
nnet RMSE 33 : 0.1531526 


s: 34 
logit 34 : -0.4580139 
logit mean 34 : -0.3920522 
logit RMSE 34 : 0.07052535 

boosting 34 : -0.548469 
boosting mean 34 : -0.4861537 
boosting RMSE 34 : 0.1712136 

forest 34 : -0.4039641 
forest mean 34 : -0.3593486 
forest RMSE 34 : 0.06490326 

nnet 34 : -0.1751426 
nnet mean 34 : -0.3788601 
nnet RMSE 34 : 0.1557335 


s: 35 
logit 35 : -0.425585 
logit mean 35 : -0.3930102 
logit RMSE 35 : 0.06964494 

boosting 35 : -0.5292348 
boosting mean 35 : -0.4873846 
boosting RMSE 35 : 0.1701580 

forest 35 : -0.441155 
forest mean 35 : -0.3616859 
forest RMSE 35 : 0.06434648 

nnet 35 : -0.6332513 
nnet mean 35 : -0.3861284 
nnet RMSE 35 : 0.1584754 


s: 36 
logit 36 : -0.4188343 
logit mean 36 : -0.3937276 
logit RMSE 36 : 0.06874255 

boosting 36 : -0.4070675 
boosting mean 36 : -0.4851536 
boosting RMSE 36 : 0.1677822 

forest 36 : -0.3013385 
forest mean 36 : -0.3600096 
forest RMSE 36 : 0.06554272 

nnet 36 : -0.1864354 
nnet mean 36 : -0.3805814 
nnet RMSE 36 : 0.1602616 


s: 37 
logit 37 : -0.3094138 
logit mean 37 : -0.3914488 
logit RMSE 37 : 0.06942334 

boosting 37 : -0.1827247 
boosting mean 37 : -0.4769798 
boosting RMSE 37 : 0.1693101 

forest 37 : -0.3408419 
forest mean 37 : -0.3594916 
forest RMSE 37 : 0.06537836 

nnet 37 : -0.2094244 
nnet mean 37 : -0.3759555 
nnet RMSE 37 : 0.1611559 


s: 38 
logit 38 : -0.4724107 
logit mean 38 : -0.3935794 
logit RMSE 38 : 0.0695036 

boosting 38 : -0.3088234 
boosting mean 38 : -0.4725547 
boosting RMSE 38 : 0.1677210 

forest 38 : -0.3606963 
forest mean 38 : -0.3595233 
forest RMSE 38 : 0.06482669 

nnet 38 : -0.1037787 
nnet mean 38 : -0.368793 
nnet RMSE 38 : 0.1661231 


s: 39 
logit 39 : -0.3624027 
logit mean 39 : -0.39278 
logit RMSE 39 : 0.06887039 

boosting 39 : -0.3903406 
boosting mean 39 : -0.4704466 
boosting RMSE 39 : 0.1655640 

forest 39 : -0.3486541 
forest mean 39 : -0.3592446 
forest RMSE 39 : 0.06451623 

nnet 39 : -0.418626 
nnet mean 39 : -0.3700707 
nnet RMSE 39 : 0.1640066 


s: 40 
logit 40 : -0.3124391 
logit mean 40 : -0.3907715 
logit RMSE 40 : 0.06939903 

boosting 40 : -0.3165109 
boosting mean 40 : -0.4665982 
boosting RMSE 40 : 0.1640134 

forest 40 : -0.3505082 
forest mean 40 : -0.3590262 
forest RMSE 40 : 0.0641835 

nnet 40 : -0.3162258 
nnet mean 40 : -0.3687246 
nnet RMSE 40 : 0.1624844 


s: 41 
logit 41 : -0.3924755 
logit mean 41 : -0.390813 
logit RMSE 41 : 0.06855755 

boosting 41 : -0.4448214 
boosting mean 41 : -0.4660671 
boosting RMSE 41 : 0.1621521 

forest 41 : -0.3493975 
forest mean 41 : -0.3587913 
forest RMSE 41 : 0.06388661 

nnet 41 : -0.5365607 
nnet mean 41 : -0.3728182 
nnet RMSE 41 : 0.1619015 


s: 42 
logit 42 : -0.4629541 
logit mean 42 : -0.3925307 
logit RMSE 42 : 0.06842946 

boosting 42 : -0.5081538 
boosting mean 42 : -0.4670691 
boosting RMSE 42 : 0.1610769 

forest 42 : -0.3673683 
forest mean 42 : -0.3589955 
forest RMSE 42 : 0.06332198 

nnet 42 : -0.2931069 
nnet mean 42 : -0.3709203 
nnet RMSE 42 : 0.1608106 


s: 43 
logit 43 : -0.3709481 
logit mean 43 : -0.3920288 
logit RMSE 43 : 0.06777405 

boosting 43 : -0.4707123 
boosting mean 43 : -0.4671539 
boosting RMSE 43 : 0.1595577 

forest 43 : -0.420254 
forest mean 43 : -0.3604202 
forest RMSE 43 : 0.06265752 

nnet 43 : -0.2188522 
nnet mean 43 : -0.3673838 
nnet RMSE 43 : 0.1613127 


s: 44 
logit 44 : -0.4340778 
logit mean 44 : -0.3929844 
logit RMSE 44 : 0.06719614 

boosting 44 : -0.6315083 
boosting mean 44 : -0.4708892 
boosting RMSE 44 : 0.1615492 

forest 44 : -0.3833673 
forest mean 44 : -0.3609417 
forest RMSE 44 : 0.06199215 

nnet 44 : -0.4041391 
nnet mean 44 : -0.3682192 
nnet RMSE 44 : 0.1594703 


s: 45 
logit 45 : -0.3833273 
logit mean 45 : -0.3927698 
logit RMSE 45 : 0.06649179 

boosting 45 : -0.337272 
boosting mean 45 : -0.4679199 
boosting RMSE 45 : 0.1600176 

forest 45 : -0.3626257 
forest mean 45 : -0.3609791 
forest RMSE 45 : 0.06155215 

nnet 45 : -0.1297136 
nnet mean 45 : -0.3629191 
nnet RMSE 45 : 0.1627546 


s: 46 
logit 46 : -0.3917889 
logit mean 46 : -0.3927485 
logit RMSE 46 : 0.06577623 

boosting 46 : -0.6749992 
boosting mean 46 : -0.4724216 
boosting RMSE 46 : 0.1633799 

forest 46 : -0.3940989 
forest mean 46 : -0.3616991 
forest RMSE 46 : 0.06088564 

nnet 46 : -0.7746688 
nnet mean 46 : -0.3718701 
nnet RMSE 46 : 0.1701907 


s: 47 
logit 47 : -0.5618613 
logit mean 47 : -0.3963466 
logit RMSE 47 : 0.06922345 

boosting 47 : -0.5567884 
boosting mean 47 : -0.4742167 
boosting RMSE 47 : 0.1632424 

forest 47 : -0.260623 
forest mean 47 : -0.3595485 
forest RMSE 47 : 0.06357284 

nnet 47 : -0.411019 
nnet mean 47 : -0.3727031 
nnet RMSE 47 : 0.1683781 


s: 48 
logit 48 : -0.4287746 
logit mean 48 : -0.3970222 
logit RMSE 48 : 0.06862437 

boosting 48 : -0.4224696 
boosting mean 48 : -0.4731386 
boosting RMSE 48 : 0.1615656 

forest 48 : -0.5121015 
forest mean 48 : -0.3627267 
forest RMSE 48 : 0.06495472 

nnet 48 : -0.5214732 
nnet mean 48 : -0.3758025 
nnet RMSE 48 : 0.1675350 


s: 49 
logit 49 : -0.5349348 
logit mean 49 : -0.3998368 
logit RMSE 49 : 0.07060294 

boosting 49 : -0.4015045 
boosting mean 49 : -0.4716767 
boosting RMSE 49 : 0.1599086 

forest 49 : -0.3735814 
forest mean 49 : -0.3629483 
forest RMSE 49 : 0.06439918 

nnet 49 : -0.2058296 
nnet mean 49 : -0.3723336 
nnet RMSE 49 : 0.1681207 


s: 50 
logit 50 : -0.4213232 
logit mean 50 : -0.4002665 
logit RMSE 50 : 0.06995837 

boosting 50 : -0.3536878 
boosting mean 50 : -0.4693169 
boosting RMSE 50 : 0.1584369 

forest 50 : -0.4095184 
forest mean 50 : -0.3638797 
forest RMSE 50 : 0.06376615 

nnet 50 : -0.4432449 
nnet mean 50 : -0.3737519 
nnet RMSE 50 : 0.1665434 


s: 51 
logit 51 : -0.3591519 
logit mean 51 : -0.3994603 
logit RMSE 51 : 0.06950487 

boosting 51 : -0.5336294 
boosting mean 51 : -0.4705779 
boosting RMSE 51 : 0.1579879 

forest 51 : -0.4117096 
forest mean 51 : -0.3648175 
forest RMSE 51 : 0.06315918 

nnet 51 : -0.2523399 
nnet mean 51 : -0.3713712 
nnet RMSE 51 : 0.1661937 


s: 52 
logit 52 : -0.3497456 
logit mean 52 : -0.3985043 
logit RMSE 52 : 0.0691852 

boosting 52 : -0.3373053 
boosting mean 52 : -0.468015 
boosting RMSE 52 : 0.1567028 

forest 52 : -0.3700837 
forest mean 52 : -0.3649188 
forest RMSE 52 : 0.06268636 

nnet 52 : -0.6282482 
nnet mean 52 : -0.3763112 
nnet RMSE 52 : 0.1676039 


s: 53 
logit 53 : -0.4219836 
logit mean 53 : -0.3989473 
logit RMSE 53 : 0.0685959 

boosting 53 : -0.4538649 
boosting mean 53 : -0.467748 
boosting RMSE 53 : 0.1553937 

forest 53 : -0.3231401 
forest mean 53 : -0.3641305 
forest RMSE 53 : 0.06298332 

nnet 53 : -0.1813080 
nnet mean 53 : -0.3726319 
nnet RMSE 53 : 0.1687111 


s: 54 
logit 54 : -0.3810438 
logit mean 54 : -0.3986157 
logit RMSE 54 : 0.06800672 

boosting 54 : -0.3706633 
boosting mean 54 : -0.4659502 
boosting RMSE 54 : 0.1539999 

forest 54 : -0.3464108 
forest mean 54 : -0.3638024 
forest RMSE 54 : 0.06282212 

nnet 54 : -0.3828026 
nnet mean 54 : -0.3728202 
nnet RMSE 54 : 0.167158 


s: 55 
logit 55 : -0.3748977 
logit mean 55 : -0.3981845 
logit RMSE 55 : 0.0674706 

boosting 55 : -0.4593708 
boosting mean 55 : -0.4658305 
boosting RMSE 55 : 0.1528033 

forest 55 : -0.3779107 
forest mean 55 : -0.3640589 
forest RMSE 55 : 0.06231961 

nnet 55 : -0.4033726 
nnet mean 55 : -0.3733757 
nnet RMSE 55 : 0.1656320 


s: 56 
logit 56 : -0.3814265 
logit mean 56 : -0.3978852 
logit RMSE 56 : 0.06691152 

boosting 56 : -0.6540538 
boosting mean 56 : -0.4691917 
boosting RMSE 56 : 0.1551917 

forest 56 : -0.2721579 
forest mean 56 : -0.3624178 
forest RMSE 56 : 0.06407988 

nnet 56 : -0.3075652 
nnet mean 56 : -0.3722005 
nnet RMSE 56 : 0.1646106 


s: 57 
logit 57 : -0.3924381 
logit mean 57 : -0.3977897 
logit RMSE 57 : 0.06632954 

boosting 57 : -0.2484533 
boosting mean 57 : -0.4653191 
boosting RMSE 57 : 0.1551285 

forest 57 : -0.2645919 
forest mean 57 : -0.3607015 
forest RMSE 57 : 0.06599897 

nnet 57 : -0.4078186 
nnet mean 57 : -0.3728254 
nnet RMSE 57 : 0.1631636 


s: 58 
logit 58 : -0.4488718 
logit mean 58 : -0.3986704 
logit RMSE 58 : 0.06606764 

boosting 58 : -0.6500377 
boosting mean 58 : -0.4685039 
boosting RMSE 58 : 0.1572509 

forest 58 : -0.346225 
forest mean 58 : -0.3604519 
forest RMSE 58 : 0.06580746 

nnet 58 : -0.2475958 
nnet mean 58 : -0.3706663 
nnet RMSE 58 : 0.1629841 


s: 59 
logit 59 : -0.3092202 
logit mean 59 : -0.3971543 
logit RMSE 59 : 0.06656297 

boosting 59 : -0.5026762 
boosting mean 59 : -0.4690831 
boosting RMSE 59 : 0.1564846 

forest 59 : -0.3276229 
forest mean 59 : -0.3598955 
forest RMSE 59 : 0.06592426 

nnet 59 : -0.4921131 
nnet mean 59 : -0.3727247 
nnet RMSE 59 : 0.1620413 


s: 60 
logit 60 : -0.4705538 
logit mean 60 : -0.3983776 
logit RMSE 60 : 0.06663144 

boosting 60 : -0.474256 
boosting mean 60 : -0.4691693 
boosting RMSE 60 : 0.1554709 

forest 60 : -0.3759573 
forest mean 60 : -0.3601632 
forest RMSE 60 : 0.06544623 

nnet 60 : -0.4325082 
nnet mean 60 : -0.3737211 
nnet RMSE 60 : 0.1607401 


s: 61 
logit 61 : -0.3635266 
logit mean 61 : -0.3978063 
logit RMSE 61 : 0.06624783 

boosting 61 : -0.6266964 
boosting mean 61 : -0.4717517 
boosting RMSE 61 : 0.1568994 

forest 61 : -0.3523254 
forest mean 61 : -0.3600347 
forest RMSE 61 : 0.06519396 

nnet 61 : -0.1750066 
nnet mean 61 : -0.3704635 
nnet RMSE 61 : 0.161999 


s: 62 
logit 62 : -0.4498061 
logit mean 62 : -0.398645 
logit RMSE 62 : 0.06601514 

boosting 62 : -0.469562 
boosting mean 62 : -0.4717164 
boosting RMSE 62 : 0.1558795 

forest 62 : -0.3154628 
forest mean 62 : -0.3593158 
forest RMSE 62 : 0.06555125 

nnet 62 : -0.3118252 
nnet mean 62 : -0.3695177 
nnet RMSE 62 : 0.1610770 


s: 63 
logit 63 : -0.4526242 
logit mean 63 : -0.3995018 
logit RMSE 63 : 0.06582386 

boosting 63 : -0.3938896 
boosting mean 63 : -0.470481 
boosting RMSE 63 : 0.1546393 

forest 63 : -0.3980108 
forest mean 63 : -0.35993 
forest RMSE 63 : 0.06502941 

nnet 63 : -1.017364 
nnet mean 63 : -0.379801 
nnet RMSE 63 : 0.1777182 


s: 64 
logit 64 : -0.4268215 
logit mean 64 : -0.3999287 
logit RMSE 64 : 0.06539359 

boosting 64 : -0.4551539 
boosting mean 64 : -0.4702415 
boosting RMSE 64 : 0.1535813 

forest 64 : -0.3036736 
forest mean 64 : -0.359051 
forest RMSE 64 : 0.0656333 

nnet 64 : -0.4496792 
nnet mean 64 : -0.3808928 
nnet RMSE 64 : 0.1764337 


s: 65 
logit 65 : -0.4337032 
logit mean 65 : -0.4004483 
logit RMSE 65 : 0.06502313 

boosting 65 : -0.490643 
boosting mean 65 : -0.4705554 
boosting RMSE 65 : 0.1528095 

forest 65 : -0.4088875 
forest mean 65 : -0.3598177 
forest RMSE 65 : 0.0651358 

nnet 65 : -0.2637299 
nnet mean 65 : -0.3790903 
nnet RMSE 65 : 0.1758852 


s: 66 
logit 66 : -0.5103403 
logit mean 66 : -0.4021133 
logit RMSE 66 : 0.06594252 

boosting 66 : -0.4879304 
boosting mean 66 : -0.4708187 
boosting RMSE 66 : 0.1520331 

forest 66 : -0.395044 
forest mean 66 : -0.3603515 
forest RMSE 66 : 0.06464334 

nnet 66 : -0.5157536 
nnet mean 66 : -0.381161 
nnet RMSE 66 : 0.1751283 


s: 67 
logit 67 : -0.4934038 
logit mean 67 : -0.4034759 
logit RMSE 67 : 0.06643589 

boosting 67 : -0.5103347 
boosting mean 67 : -0.4714085 
boosting RMSE 67 : 0.1514952 

forest 67 : -0.3598933 
forest mean 67 : -0.3603446 
forest RMSE 67 : 0.06434594 

nnet 67 : -0.60546 
nnet mean 67 : -0.3845087 
nnet RMSE 67 : 0.1756195 


s: 68 
logit 68 : -0.4826501 
logit mean 68 : -0.4046402 
logit RMSE 68 : 0.0667029 

boosting 68 : -0.5663083 
boosting mean 68 : -0.472804 
boosting RMSE 68 : 0.1517235 

forest 68 : -0.3225853 
forest mean 68 : -0.3597893 
forest RMSE 68 : 0.0645573 

nnet 68 : -0.5085244 
nnet mean 68 : -0.3863325 
nnet RMSE 68 : 0.1748195 


s: 69 
logit 69 : -0.3996342 
logit mean 69 : -0.4045676 
logit RMSE 69 : 0.06621779 

boosting 69 : -0.5903461 
boosting mean 69 : -0.4745076 
boosting RMSE 69 : 0.1523532 

forest 69 : -0.418067 
forest mean 69 : -0.3606340 
forest RMSE 69 : 0.06412468 

nnet 69 : -0.2307774 
nnet mean 69 : -0.3840781 
nnet RMSE 69 : 0.1747396 


s: 70 
logit 70 : -0.3141762 
logit mean 70 : -0.4032763 
logit RMSE 70 : 0.06653857 

boosting 70 : -0.3880204 
boosting mean 70 : -0.473272 
boosting RMSE 70 : 0.1512678 

forest 70 : -0.35428 
forest mean 70 : -0.3605432 
forest RMSE 70 : 0.06389909 

nnet 70 : -0.3536833 
nnet mean 70 : -0.3836438 
nnet RMSE 70 : 0.1735753 


s: 71 
logit 71 : -0.3878506 
logit mean 71 : -0.4030591 
logit RMSE 71 : 0.06608406 

boosting 71 : -0.5526577 
boosting mean 71 : -0.4743901 
boosting RMSE 71 : 0.1512875 

forest 71 : -0.3851370 
forest mean 71 : -0.3608896 
forest RMSE 71 : 0.06347201 

nnet 71 : -0.3992767 
nnet mean 71 : -0.383864 
nnet RMSE 71 : 0.1723486 


s: 72 
logit 72 : -0.2713054 
logit mean 72 : -0.4012292 
logit RMSE 72 : 0.0673534 

boosting 72 : -0.4530869 
boosting mean 72 : -0.4740943 
boosting RMSE 72 : 0.1503634 

forest 72 : -0.3445069 
forest mean 72 : -0.360662 
forest RMSE 72 : 0.06336808 

nnet 72 : -0.4389538 
nnet mean 72 : -0.3846292 
nnet RMSE 72 : 0.1712091 


s: 73 
logit 73 : -0.4882686 
logit mean 73 : -0.4024215 
logit RMSE 73 : 0.06768358 

boosting 73 : -0.3845288 
boosting mean 73 : -0.4728673 
boosting RMSE 73 : 0.1493409 

forest 73 : -0.3896324 
forest mean 73 : -0.3610589 
forest RMSE 73 : 0.06294425 

nnet 73 : -0.2935068 
nnet mean 73 : -0.3833809 
nnet RMSE 73 : 0.1704887 


s: 74 
logit 74 : -0.4191652 
logit mean 74 : -0.4026477 
logit RMSE 74 : 0.06726161 

boosting 74 : -0.4339664 
boosting mean 74 : -0.4723416 
boosting RMSE 74 : 0.148381 

forest 74 : -0.3437316 
forest mean 74 : -0.3608247 
forest RMSE 74 : 0.06285876 

nnet 74 : -0.4258709 
nnet mean 74 : -0.3839551 
nnet RMSE 74 : 0.1693595 


s: 75 
logit 75 : -0.3492795 
logit mean 75 : -0.4019362 
logit RMSE 75 : 0.0670679 

boosting 75 : -0.2775021 
boosting mean 75 : -0.4697438 
boosting RMSE 75 : 0.1480657 

forest 75 : -0.2787771 
forest mean 75 : -0.3597308 
forest RMSE 75 : 0.06398808 

nnet 75 : -0.2287885 
nnet mean 75 : -0.3818862 
nnet RMSE 75 : 0.1693843 


s: 76 
logit 76 : -0.400664 
logit mean 76 : -0.4019194 
logit RMSE 76 : 0.06662525 

boosting 76 : -0.4443788 
boosting mean 76 : -0.46941 
boosting RMSE 76 : 0.1471764 

forest 76 : -0.2947871 
forest mean 76 : -0.3588762 
forest RMSE 76 : 0.06470127 

nnet 76 : -0.6361848 
nnet mean 76 : -0.3852322 
nnet RMSE 76 : 0.1704333 


s: 77 
logit 77 : -0.3569464 
logit mean 77 : -0.4013354 
logit RMSE 77 : 0.0663728 

boosting 77 : -0.3924923 
boosting mean 77 : -0.4684111 
boosting RMSE 77 : 0.1462201 

forest 77 : -0.2957408 
forest mean 77 : -0.3580563 
forest RMSE 77 : 0.06536861 

nnet 77 : -0.3733751 
nnet mean 77 : -0.3850783 
nnet RMSE 77 : 0.1693502 


s: 78 
logit 78 : -0.4152658 
logit mean 78 : -0.401514 
logit RMSE 78 : 0.06596861 

boosting 78 : -0.3918723 
boosting mean 78 : -0.4674298 
boosting RMSE 78 : 0.1452827 

forest 78 : -0.3480130 
forest mean 78 : -0.3579275 
forest RMSE 78 : 0.06521443 

nnet 78 : -0.6517595 
nnet mean 78 : -0.3884972 
nnet RMSE 78 : 0.1706587 


s: 79 
logit 79 : -0.4554512 
logit mean 79 : -0.4021967 
logit RMSE 79 : 0.06584598 

boosting 79 : -0.4688453 
boosting mean 79 : -0.4674477 
boosting RMSE 79 : 0.1445679 

forest 79 : -0.3657692 
forest mean 79 : -0.3580268 
forest RMSE 79 : 0.06491471 

nnet 79 : -0.703511 
nnet mean 79 : -0.3924848 
nnet RMSE 79 : 0.1729792 


s: 80 
logit 80 : -0.4477068 
logit mean 80 : -0.4027656 
logit RMSE 80 : 0.06565018 

boosting 80 : -0.576445 
boosting mean 80 : -0.4688102 
boosting RMSE 80 : 0.1450096 

forest 80 : -0.2823199 
forest mean 80 : -0.3570805 
forest RMSE 80 : 0.0658358 

nnet 80 : -0.365707 
nnet mean 80 : -0.39215 
nnet RMSE 80 : 0.1719374 


s: 81 
logit 81 : -0.458976 
logit mean 81 : -0.4034595 
logit RMSE 81 : 0.06557192 

boosting 81 : -0.5366929 
boosting mean 81 : -0.4696483 
boosting RMSE 81 : 0.1449098 

forest 81 : -0.2987899 
forest mean 81 : -0.3563608 
forest RMSE 81 : 0.06638754 

nnet 81 : -0.2944374 
nnet mean 81 : -0.3909437 
nnet RMSE 81 : 0.1712749 


s: 82 
logit 82 : -0.3726825 
logit mean 82 : -0.4030842 
logit RMSE 82 : 0.06524065 

boosting 82 : -0.4970206 
boosting mean 82 : -0.4699821 
boosting RMSE 82 : 0.1444215 

forest 82 : -0.4039377 
forest mean 82 : -0.3569410 
forest RMSE 82 : 0.06598293 

nnet 82 : -0.3024208 
nnet mean 82 : -0.3898642 
nnet RMSE 82 : 0.1705680 


s: 83 
logit 83 : -0.3886196 
logit mean 83 : -0.4029099 
logit RMSE 83 : 0.06485847 

boosting 83 : -0.3230411 
boosting mean 83 : -0.4682117 
boosting RMSE 83 : 0.1437972 

forest 83 : -0.3526657 
forest mean 83 : -0.3568895 
forest RMSE 83 : 0.06578971 

nnet 83 : -0.2806338 
nnet mean 83 : -0.3885481 
nnet RMSE 83 : 0.1700429 


s: 84 
logit 84 : -0.4091015 
logit mean 84 : -0.4029837 
logit RMSE 84 : 0.0644789 

boosting 84 : -0.3681302 
boosting mean 84 : -0.4670203 
boosting RMSE 84 : 0.1429810 

forest 84 : -0.4373301 
forest mean 84 : -0.3578472 
forest RMSE 84 : 0.06552365 

nnet 84 : -0.1347107 
nnet mean 84 : -0.3855263 
nnet RMSE 84 : 0.1714882 


s: 85 
logit 85 : -0.3512086 
logit mean 85 : -0.4023745 
logit RMSE 85 : 0.06431659 

boosting 85 : -0.5020705 
boosting mean 85 : -0.4674326 
boosting RMSE 85 : 0.1425679 

forest 85 : -0.4033561 
forest mean 85 : -0.3583826 
forest RMSE 85 : 0.0651381 

nnet 85 : -0.4753289 
nnet mean 85 : -0.3865828 
nnet RMSE 85 : 0.1706722 


s: 86 
logit 86 : -0.4796516 
logit mean 86 : -0.4032731 
logit RMSE 86 : 0.06451585 

boosting 86 : -0.4508939 
boosting mean 86 : -0.4672403 
boosting RMSE 86 : 0.1418428 

forest 86 : -0.3130192 
forest mean 86 : -0.3578551 
forest RMSE 86 : 0.06543399 

nnet 86 : -0.6324137 
nnet mean 86 : -0.3894413 
nnet RMSE 86 : 0.1715179 


s: 87 
logit 87 : -0.3950866 
logit mean 87 : -0.403179 
logit RMSE 87 : 0.06414616 

boosting 87 : -0.2493991 
boosting mean 87 : -0.4647364 
boosting RMSE 87 : 0.1419466 

forest 87 : -0.2729948 
forest mean 87 : -0.3568797 
forest RMSE 87 : 0.06646653 

nnet 87 : -0.2108657 
nnet mean 87 : -0.3873887 
nnet RMSE 87 : 0.1717306 


s: 88 
logit 88 : -0.3481353 
logit mean 88 : -0.4025535 
logit RMSE 88 : 0.06401984 

boosting 88 : -0.5959213 
boosting mean 88 : -0.4662271 
boosting RMSE 88 : 0.1426747 

forest 88 : -0.3999193 
forest mean 88 : -0.3573688 
forest RMSE 88 : 0.0660878 

nnet 88 : -0.5202913 
nnet mean 88 : -0.3888989 
nnet RMSE 88 : 0.1712329 


s: 89 
logit 89 : -0.4673819 
logit mean 89 : -0.4032819 
logit RMSE 89 : 0.0640586 

boosting 89 : -0.5957075 
boosting mean 89 : -0.467682 
boosting RMSE 89 : 0.1433795 

forest 89 : -0.3096632 
forest mean 89 : -0.3568327 
forest RMSE 89 : 0.06640946 

nnet 89 : -0.4277874 
nnet mean 89 : -0.3893359 
nnet RMSE 89 : 0.1702937 


s: 90 
logit 90 : -0.4025961 
logit mean 90 : -0.4032743 
logit RMSE 90 : 0.06370231 

boosting 90 : -0.4553149 
boosting mean 90 : -0.4675445 
boosting RMSE 90 : 0.1426999 

forest 90 : -0.3495039 
forest mean 90 : -0.3567513 
forest RMSE 90 : 0.06625365 

nnet 90 : -0.4262006 
nnet mean 90 : -0.3897455 
nnet RMSE 90 : 0.1693675 


s: 91 
logit 91 : -0.381734 
logit mean 91 : -0.4030376 
logit RMSE 91 : 0.06338026 

boosting 91 : -0.4476405 
boosting mean 91 : -0.4673258 
boosting RMSE 91 : 0.1420015 

forest 91 : -0.4236143 
forest mean 91 : -0.3574861 
forest RMSE 91 : 0.0659351 

nnet 91 : -0.4121476 
nnet mean 91 : -0.3899917 
nnet RMSE 91 : 0.1684391 


s: 92 
logit 92 : -0.4289175 
logit mean 92 : -0.4033189 
logit RMSE 92 : 0.06310692 

boosting 92 : -0.6695279 
boosting mean 92 : -0.4695237 
boosting RMSE 92 : 0.1439961 

forest 92 : -0.4480481 
forest mean 92 : -0.3584704 
forest RMSE 92 : 0.06576683 

nnet 92 : -0.6745425 
nnet mean 92 : -0.3930846 
nnet RMSE 92 : 0.1699489 


s: 93 
logit 93 : -0.4076173 
logit mean 93 : -0.4033651 
logit RMSE 93 : 0.06277168 

boosting 93 : -0.5885473 
boosting mean 93 : -0.4708035 
boosting RMSE 93 : 0.1445482 

forest 93 : -0.2864704 
forest mean 93 : -0.3576962 
forest RMSE 93 : 0.06646321 

nnet 93 : -0.6450896 
nnet mean 93 : -0.3957943 
nnet RMSE 93 : 0.1709327 


s: 94 
logit 94 : -0.3019756 
logit mean 94 : -0.4022865 
logit RMSE 94 : 0.0632502 

boosting 94 : -0.6317737 
boosting mean 94 : -0.4725159 
boosting RMSE 94 : 0.1457511 

forest 94 : -0.4310311 
forest mean 94 : -0.3584764 
forest RMSE 94 : 0.06618617 

nnet 94 : -0.4626401 
nnet mean 94 : -0.3965055 
nnet RMSE 94 : 0.1701437 


s: 95 
logit 95 : -0.4665094 
logit mean 95 : -0.4029625 
logit RMSE 95 : 0.06328538 

boosting 95 : -0.5774793 
boosting mean 95 : -0.4736208 
boosting RMSE 95 : 0.1461210 

forest 95 : -0.3941888 
forest mean 95 : -0.3588523 
forest RMSE 95 : 0.0658396 

nnet 95 : -0.4309572 
nnet mean 95 : -0.3968681 
nnet RMSE 95 : 0.1692757 


s: 96 
logit 96 : -0.4910012 
logit mean 96 : -0.4038796 
logit RMSE 96 : 0.06363633 

boosting 96 : -0.4619658 
boosting mean 96 : -0.4734994 
boosting RMSE 96 : 0.1454955 

forest 96 : -0.350463 
forest mean 96 : -0.3587649 
forest RMSE 96 : 0.06569064 

nnet 96 : -0.3715821 
nnet mean 96 : -0.3966047 
nnet RMSE 96 : 0.1684167 


s: 97 
logit 97 : -0.4654821 
logit mean 97 : -0.4045147 
logit RMSE 97 : 0.06365563 

boosting 97 : -0.607688 
boosting mean 97 : -0.4748828 
boosting RMSE 97 : 0.1462716 

forest 97 : -0.3810364 
forest mean 97 : -0.3589945 
forest RMSE 97 : 0.06537951 

nnet 97 : -0.7373053 
nnet mean 97 : -0.4001171 
nnet RMSE 97 : 0.1710108 


s: 98 
logit 98 : -0.3753565 
logit mean 98 : -0.4042171 
logit RMSE 98 : 0.06337894 

boosting 98 : -0.7066645 
boosting mean 98 : -0.4772479 
boosting RMSE 98 : 0.148784 

forest 98 : -0.3883918 
forest mean 98 : -0.3592945 
forest RMSE 98 : 0.06505566 

nnet 98 : -0.6410008 
nnet mean 98 : -0.4025751 
nnet RMSE 98 : 0.171869 


s: 99 
logit 99 : -0.3572511 
logit mean 99 : -0.4037427 
logit RMSE 99 : 0.06320423 

boosting 99 : -0.3952862 
boosting mean 99 : -0.47642 
boosting RMSE 99 : 0.1480314 

forest 99 : -0.3599614 
forest mean 99 : -0.3593012 
forest RMSE 99 : 0.06485122 

nnet 99 : -0.4724025 
nnet mean 99 : -0.4032804 
nnet RMSE 99 : 0.1711535 


s: 100 
logit 100 : -0.3866524 
logit mean 100 : -0.4035718 
logit RMSE 100 : 0.06290157 

boosting 100 : -0.3678118 
boosting mean 100 : -0.4753339 
boosting RMSE 100 : 0.1473246 

forest 100 : -0.2752230 
forest mean 100 : -0.3584605 
forest RMSE 100 : 0.06572151 

nnet 100 : -0.3916185 
nnet mean 100 : -0.4031638 
nnet RMSE 100 : 0.1702977 


s: 101 
logit 101 : -0.4057152 
logit mean 101 : -0.4035931 
logit RMSE 101 : 0.06259199 

boosting 101 : -0.6779206 
boosting mean 101 : -0.4773398 
boosting RMSE 101 : 0.1491790 

forest 101 : -0.3240951 
forest mean 101 : -0.3581202 
forest RMSE 101 : 0.06583006 

nnet 101 : -0.5561532 
nnet mean 101 : -0.4046785 
nnet RMSE 101 : 0.1701634 


s: 102 
logit 102 : -0.3889251 
logit mean 102 : -0.4034493 
logit RMSE 102 : 0.06229406 

boosting 102 : -0.510406 
boosting mean 102 : -0.4776639 
boosting RMSE 102 : 0.1488479 

forest 102 : -0.3671804 
forest mean 102 : -0.3582090 
forest RMSE 102 : 0.06558712 

nnet 102 : -0.3940731 
nnet mean 102 : -0.4045746 
nnet RMSE 102 : 0.1693282 


s: 103 
logit 103 : -0.4506482 
logit mean 103 : -0.4039075 
logit RMSE 103 : 0.06219148 

boosting 103 : -0.5728047 
boosting mean 103 : -0.4785876 
boosting RMSE 103 : 0.1490990 

forest 103 : -0.3101096 
forest mean 103 : -0.3577421 
forest RMSE 103 : 0.0658662 

nnet 103 : -0.2468280 
nnet mean 103 : -0.4030430 
nnet RMSE 103 : 0.1691788 


s: 104 
logit 104 : -0.2970886 
logit mean 104 : -0.4028804 
logit RMSE 104 : 0.06270904 

boosting 104 : -0.4645649 
boosting mean 104 : -0.4784528 
boosting RMSE 104 : 0.1485155 

forest 104 : -0.3404501 
forest mean 104 : -0.3575758 
forest RMSE 104 : 0.06580835 

nnet 104 : -0.3054947 
nnet mean 104 : -0.4021051 
nnet RMSE 104 : 0.1686183 


s: 105 
logit 105 : -0.3449537 
logit mean 105 : -0.4023287 
logit RMSE 105 : 0.06264049 

boosting 105 : -0.4561004 
boosting mean 105 : -0.4782399 
boosting RMSE 105 : 0.1479079 

forest 105 : -0.3714200 
forest mean 105 : -0.3577076 
forest RMSE 105 : 0.06555359 

nnet 105 : -0.1230118 
nnet mean 105 : -0.3994471 
nnet RMSE 105 : 0.1699766 


s: 106 
logit 106 : -0.3351913 
logit mean 106 : -0.4016953 
logit RMSE 106 : 0.06266129 

boosting 106 : -0.4946948 
boosting mean 106 : -0.4783951 
boosting RMSE 106 : 0.1474956 

forest 106 : -0.3708451 
forest mean 106 : -0.3578316 
forest RMSE 106 : 0.06530507 

nnet 106 : -0.3282844 
nnet mean 106 : -0.3987757 
nnet RMSE 106 : 0.1693162 


s: 107 
logit 107 : -0.400121 
logit mean 107 : -0.4016806 
logit RMSE 107 : 0.0623678 

boosting 107 : -0.6477017 
boosting mean 107 : -0.4799775 
boosting RMSE 107 : 0.148745 

forest 107 : -0.3615253 
forest mean 107 : -0.3578661 
forest RMSE 107 : 0.06510552 

nnet 107 : -0.4917342 
nnet mean 107 : -0.3996445 
nnet RMSE 107 : 0.1687564 


s: 108 
logit 108 : -0.3865862 
logit mean 108 : -0.4015409 
logit RMSE 108 : 0.0620918 

boosting 108 : -0.631698 
boosting mean 108 : -0.4813823 
boosting RMSE 108 : 0.1497240 

forest 108 : -0.3490711 
forest mean 108 : -0.3577847 
forest RMSE 108 : 0.06498845 

nnet 108 : -0.5045665 
nnet mean 108 : -0.400616 
nnet RMSE 108 : 0.1682744 


s: 109 
logit 109 : -0.3878607 
logit mean 109 : -0.4014154 
logit RMSE 109 : 0.06181726 

boosting 109 : -0.3214338 
boosting mean 109 : -0.4799149 
boosting RMSE 109 : 0.1492255 

forest 109 : -0.3781465 
forest mean 109 : -0.3579715 
forest RMSE 109 : 0.0647235 

nnet 109 : -0.2956143 
nnet mean 109 : -0.3996527 
nnet RMSE 109 : 0.1677988 


s: 110 
logit 110 : -0.3875786 
logit mean 110 : -0.4012896 
logit RMSE 110 : 0.06154702 

boosting 110 : -0.3361370 
boosting mean 110 : -0.4786078 
boosting RMSE 110 : 0.1486704 

forest 110 : -0.3130357 
forest mean 110 : -0.3575630 
forest RMSE 110 : 0.06496 

nnet 110 : -0.3190788 
nnet mean 110 : -0.3989202 
nnet RMSE 110 : 0.1672125 


s: 111 
logit 111 : -0.4657733 
logit mean 111 : -0.4018705 
logit RMSE 111 : 0.06158639 

boosting 111 : -0.4815595 
boosting mean 111 : -0.4786344 
boosting RMSE 111 : 0.1482015 

forest 111 : -0.3134825 
forest mean 111 : -0.3571658 
forest RMSE 111 : 0.06518604 

nnet 111 : -0.3235691 
nnet mean 111 : -0.3982413 
nnet RMSE 111 : 0.1666156 


s: 112 
logit 112 : -0.3872634 
logit mean 112 : -0.4017401 
logit RMSE 112 : 0.06132265 

boosting 112 : -0.6981058 
boosting mean 112 : -0.4805939 
boosting RMSE 112 : 0.1502033 

forest 112 : -0.3557156 
forest mean 112 : -0.3571529 
forest RMSE 112 : 0.06502915 

nnet 112 : -0.5166538 
nnet mean 112 : -0.3992986 
nnet RMSE 112 : 0.1662359 


s: 113 
logit 113 : -0.3526778 
logit mean 113 : -0.4013059 
logit RMSE 113 : 0.0612128 

boosting 113 : -0.2714992 
boosting mean 113 : -0.4787435 
boosting RMSE 113 : 0.1500250 

forest 113 : -0.362367 
forest mean 113 : -0.357199 
forest RMSE 113 : 0.0648375 

nnet 113 : -0.4726939 
nnet mean 113 : -0.3999481 
nnet RMSE 113 : 0.1656400 


s: 114 
logit 114 : -0.3723970 
logit mean 114 : -0.4010523 
logit RMSE 114 : 0.06099854 

boosting 114 : -0.35807 
boosting mean 114 : -0.477685 
boosting RMSE 114 : 0.1494172 

forest 114 : -0.3829761 
forest mean 114 : -0.3574251 
forest RMSE 114 : 0.06457218 

nnet 114 : -0.5125087 
nnet mean 114 : -0.4009355 
nnet RMSE 114 : 0.1652482 


s: 115 
logit 115 : -0.4829839 
logit mean 115 : -0.4017648 
logit RMSE 115 : 0.06122375 

boosting 115 : -0.6536094 
boosting mean 115 : -0.4792148 
boosting RMSE 115 : 0.1506342 

forest 115 : -0.3706433 
forest mean 115 : -0.3575401 
forest RMSE 115 : 0.06434908 

nnet 115 : -0.2936131 
nnet mean 115 : -0.4000022 
nnet RMSE 115 : 0.1648270 


s: 116 
logit 116 : -0.3613757 
logit mean 116 : -0.4014166 
logit RMSE 116 : 0.06106468 

boosting 116 : -0.3829058 
boosting mean 116 : -0.4783845 
boosting RMSE 116 : 0.1499919 

forest 116 : -0.405527 
forest mean 116 : -0.3579538 
forest RMSE 116 : 0.06407316 

nnet 116 : -0.5589559 
nnet mean 116 : -0.4013725 
nnet RMSE 116 : 0.1647772 


s: 117 
logit 117 : -0.4714694 
logit mean 117 : -0.4020153 
logit RMSE 117 : 0.06116111 

boosting 117 : -0.4870031 
boosting mean 117 : -0.4784582 
boosting RMSE 117 : 0.1495659 

forest 117 : -0.3911845 
forest mean 117 : -0.3582378 
forest RMSE 117 : 0.06380396 

nnet 117 : -0.1940554 
nnet mean 117 : -0.3996006 
nnet RMSE 117 : 0.1651726 


s: 118 
logit 118 : -0.341303 
logit mean 118 : -0.4015008 
logit RMSE 118 : 0.06114064 

boosting 118 : -0.4703938 
boosting mean 118 : -0.4783899 
boosting RMSE 118 : 0.1490718 

forest 118 : -0.3829848 
forest mean 118 : -0.3584475 
forest RMSE 118 : 0.06355234 

nnet 118 : -0.3637436 
nnet mean 118 : -0.3992967 
nnet RMSE 118 : 0.1645051 


s: 119 
logit 119 : -0.4285071 
logit mean 119 : -0.4017278 
logit RMSE 119 : 0.06093926 

boosting 119 : -0.3351470 
boosting mean 119 : -0.4771861 
boosting RMSE 119 : 0.1485631 

forest 119 : -0.3465994 
forest mean 119 : -0.3583479 
forest RMSE 119 : 0.0634738 

nnet 119 : -0.5341835 
nnet mean 119 : -0.4004302 
nnet RMSE 119 : 0.1642736 


s: 120 
logit 120 : -0.4142177 
logit mean 120 : -0.4018318 
logit RMSE 120 : 0.0606987 

boosting 120 : -0.7457395 
boosting mean 120 : -0.4794241 
boosting RMSE 120 : 0.1512719 

forest 120 : -0.3592949 
forest mean 120 : -0.3583558 
forest RMSE 120 : 0.0633179 

nnet 120 : -0.3225525 
nnet mean 120 : -0.3997812 
nnet RMSE 120 : 0.1637404 


s: 121 
logit 121 : -0.3508118 
logit mean 121 : -0.4014102 
logit RMSE 121 : 0.06061253 

boosting 121 : -0.6676366 
boosting mean 121 : -0.4809796 
boosting RMSE 121 : 0.1525977 

forest 121 : -0.4163255 
forest mean 121 : -0.3588349 
forest RMSE 121 : 0.06307317 

nnet 121 : -0.4429875 
nnet mean 121 : -0.4001383 
nnet RMSE 121 : 0.1631092 


s: 122 
logit 122 : -0.4038376 
logit mean 122 : -0.4014301 
logit RMSE 122 : 0.0603646 

boosting 122 : -0.7125514 
boosting mean 122 : -0.4828777 
boosting RMSE 122 : 0.1545830 

forest 122 : -0.3423708 
forest mean 122 : -0.3587 
forest RMSE 122 : 0.06303046 

nnet 122 : -0.6281313 
nnet mean 122 : -0.4020071 
nnet RMSE 122 : 0.1637471 


s: 123 
logit 123 : -0.4231625 
logit mean 123 : -0.4016068 
logit RMSE 123 : 0.06015499 

boosting 123 : -0.5812268 
boosting mean 123 : -0.4836773 
boosting RMSE 123 : 0.1548181 

forest 123 : -0.4950831 
forest mean 123 : -0.3598088 
forest RMSE 123 : 0.06335647 

nnet 123 : -0.3966957 
nnet mean 123 : -0.4019639 
nnet RMSE 123 : 0.1630804 


s: 124 
logit 124 : -0.4266877 
logit mean 124 : -0.401809 
logit RMSE 124 : 0.05995985 

boosting 124 : -0.5352171 
boosting mean 124 : -0.4840929 
boosting RMSE 124 : 0.15467 

forest 124 : -0.3498585 
forest mean 124 : -0.3597285 
forest RMSE 124 : 0.06326094 

nnet 124 : -0.4810353 
nnet mean 124 : -0.4026016 
nnet RMSE 124 : 0.1625844 


s: 125 
logit 125 : -0.4022001 
logit mean 125 : -0.4018122 
logit RMSE 125 : 0.05971985 

boosting 125 : -0.5192472 
boosting mean 125 : -0.4843741 
boosting RMSE 125 : 0.1544189 

forest 125 : -0.4094175 
forest mean 125 : -0.3601260 
forest RMSE 125 : 0.06301301 

nnet 125 : -0.1597447 
nnet mean 125 : -0.4006587 
nnet RMSE 125 : 0.1633524 


s: 126 
logit 126 : -0.4438096 
logit mean 126 : -0.4021455 
logit RMSE 126 : 0.0596103 

boosting 126 : -0.8115516 
boosting mean 126 : -0.4869708 
boosting RMSE 126 : 0.1581145 

forest 126 : -0.4463613 
forest mean 126 : -0.3608105 
forest RMSE 126 : 0.06289821 

nnet 126 : -0.2068154 
nnet mean 126 : -0.3991203 
nnet RMSE 126 : 0.1636106 


s: 127 
logit 127 : -0.3114197 
logit mean 127 : -0.4014311 
logit RMSE 127 : 0.05989317 

boosting 127 : -0.3795664 
boosting mean 127 : -0.4861251 
boosting RMSE 127 : 0.1575012 

forest 127 : -0.2941299 
forest mean 127 : -0.3602854 
forest RMSE 127 : 0.06335053 

nnet 127 : -0.4358833 
nnet mean 127 : -0.3994098 
nnet RMSE 127 : 0.1629963 


s: 128 
logit 128 : -0.4202359 
logit mean 128 : -0.401578 
logit RMSE 128 : 0.05968556 

boosting 128 : -0.7198323 
boosting mean 128 : -0.4879509 
boosting RMSE 128 : 0.1594113 

forest 128 : -0.3438319 
forest mean 128 : -0.3601569 
forest RMSE 128 : 0.06329758 

nnet 128 : -0.5533369 
nnet mean 128 : -0.4006123 
nnet RMSE 128 : 0.1629230 


s: 129 
logit 129 : -0.4022242 
logit mean 129 : -0.401583 
logit RMSE 129 : 0.05945409 

boosting 129 : -0.3192358 
boosting mean 129 : -0.4866431 
boosting RMSE 129 : 0.1589514 

forest 129 : -0.4786549 
forest mean 129 : -0.3610755 
forest RMSE 129 : 0.06343093 

nnet 129 : -0.3411550 
nnet mean 129 : -0.4001514 
nnet RMSE 129 : 0.162373 


s: 130 
logit 130 : -0.4549612 
logit mean 130 : -0.4019936 
logit RMSE 130 : 0.05942083 

boosting 130 : -0.7071986 
boosting mean 130 : -0.4883396 
boosting RMSE 130 : 0.1606149 

forest 130 : -0.3027993 
forest mean 130 : -0.3606272 
forest RMSE 130 : 0.063759 

nnet 130 : -0.3110104 
nnet mean 130 : -0.3994657 
nnet RMSE 130 : 0.1619355 


s: 131 
logit 131 : -0.3657929 
logit mean 131 : -0.4017173 
logit RMSE 131 : 0.059269 

boosting 131 : -0.5429325 
boosting mean 131 : -0.4887564 
boosting RMSE 131 : 0.1604872 

forest 131 : -0.4478339 
forest mean 131 : -0.3612929 
forest RMSE 131 : 0.06365252 

nnet 131 : -0.6639994 
nnet mean 131 : -0.4014851 
nnet RMSE 131 : 0.1629569 


s: 132 
logit 132 : -0.3051342 
logit mean 132 : -0.4009856 
logit RMSE 132 : 0.05961862 

boosting 132 : -0.4694877 
boosting mean 132 : -0.4886104 
boosting RMSE 132 : 0.1599925 

forest 132 : -0.3480765 
forest mean 132 : -0.3611928 
forest RMSE 132 : 0.0635718 

nnet 132 : -0.503909 
nnet mean 132 : -0.402261 
nnet RMSE 132 : 0.1625902 


s: 133 
logit 133 : -0.2499503 
logit mean 133 : -0.39985 
logit RMSE 133 : 0.06080247 

boosting 133 : -0.3166224 
boosting mean 133 : -0.4873173 
boosting RMSE 133 : 0.1595538 

forest 133 : -0.2955161 
forest mean 133 : -0.3606989 
forest RMSE 133 : 0.0639771 

nnet 133 : -0.3602974 
nnet mean 133 : -0.4019455 
nnet RMSE 133 : 0.1620144 


s: 134 
logit 134 : -0.3957345 
logit mean 134 : -0.3998193 
logit RMSE 134 : 0.06057629 

boosting 134 : -0.4788233 
boosting mean 134 : -0.4872539 
boosting RMSE 134 : 0.1591031 

forest 134 : -0.3773513 
forest mean 134 : -0.3608232 
forest RMSE 134 : 0.06376796 

nnet 134 : -0.3876096 
nnet mean 134 : -0.4018385 
nnet RMSE 134 : 0.1614123 


s: 135 
logit 135 : -0.2868131 
logit mean 135 : -0.3989822 
logit RMSE 135 : 0.06113268 

boosting 135 : -0.2611749 
boosting mean 135 : -0.4855792 
boosting RMSE 135 : 0.1589624 

forest 135 : -0.3347150 
forest mean 135 : -0.3606298 
forest RMSE 135 : 0.06377933 

nnet 135 : -0.4476797 
nnet mean 135 : -0.4021781 
nnet RMSE 135 : 0.1608657 


s: 136 
logit 136 : -0.4051977 
logit mean 136 : -0.3990279 
logit RMSE 136 : 0.06090914 

boosting 136 : -0.5493966 
boosting mean 136 : -0.4860485 
boosting RMSE 136 : 0.1588942 

forest 136 : -0.3894739 
forest mean 136 : -0.3608419 
forest RMSE 136 : 0.06355082 

nnet 136 : -0.4700602 
nnet mean 136 : -0.4026772 
nnet RMSE 136 : 0.1603857 


s: 137 
logit 137 : -0.3442872 
logit mean 137 : -0.3986283 
logit RMSE 137 : 0.06087282 

boosting 137 : -0.3668491 
boosting mean 137 : -0.4851784 
boosting RMSE 137 : 0.1583386 

forest 137 : -0.3168053 
forest mean 137 : -0.3605205 
forest RMSE 137 : 0.06371616 

nnet 137 : -0.7124223 
nnet mean 137 : -0.4049381 
nnet RMSE 137 : 0.1620132 


s: 138 
logit 138 : -0.4383617 
logit mean 138 : -0.3989163 
logit RMSE 138 : 0.06073971 

boosting 138 : -0.6075999 
boosting mean 138 : -0.4860655 
boosting RMSE 138 : 0.1587505 

forest 138 : -0.365893 
forest mean 138 : -0.3605594 
forest RMSE 138 : 0.06355124 

nnet 138 : -0.2721754 
nnet mean 138 : -0.4039761 
nnet RMSE 138 : 0.1617915 


s: 139 
logit 139 : -0.3020650 
logit mean 139 : -0.3982195 
logit RMSE 139 : 0.06108823 

boosting 139 : -0.5203906 
boosting mean 139 : -0.4863124 
boosting RMSE 139 : 0.1585077 

forest 139 : -0.2983503 
forest mean 139 : -0.3601119 
forest RMSE 139 : 0.06390649 

nnet 139 : -0.3399211 
nnet mean 139 : -0.4035152 
nnet RMSE 139 : 0.1612890 


s: 140 
logit 140 : -0.4176365 
logit mean 140 : -0.3983582 
logit RMSE 140 : 0.06088792 

boosting 140 : -0.521624 
boosting mean 140 : -0.4865647 
boosting RMSE 140 : 0.1582747 

forest 140 : -0.422383 
forest mean 140 : -0.3605567 
forest RMSE 140 : 0.06370594 

nnet 140 : -0.5357452 
nnet mean 140 : -0.4044597 
nnet RMSE 140 : 0.1611209 


s: 141 
logit 141 : -0.3328857 
logit mean 141 : -0.3978938 
logit RMSE 141 : 0.06093432 

boosting 141 : -0.4159913 
boosting mean 141 : -0.4860642 
boosting RMSE 141 : 0.1577182 

forest 141 : -0.4004393 
forest mean 141 : -0.3608395 
forest RMSE 141 : 0.06347964 

nnet 141 : -0.2725185 
nnet mean 141 : -0.403524 
nnet RMSE 141 : 0.1609071 


s: 142 
logit 142 : -0.4266056 
logit mean 142 : -0.398096 
logit RMSE 142 : 0.06076042 

boosting 142 : -0.430009 
boosting mean 142 : -0.4856694 
boosting RMSE 142 : 0.1571821 

forest 142 : -0.3342494 
forest mean 142 : -0.3606523 
forest RMSE 142 : 0.06349592 

nnet 142 : -0.3554209 
nnet mean 142 : -0.4031852 
nnet RMSE 142 : 0.1603831 


s: 143 
logit 143 : -0.5403281 
logit mean 143 : -0.3990907 
logit RMSE 143 : 0.06167428 

boosting 143 : -0.5615012 
boosting mean 143 : -0.4861997 
boosting RMSE 143 : 0.1572127 

forest 143 : -0.3756089 
forest mean 143 : -0.3607568 
forest RMSE 143 : 0.06330638 

nnet 143 : -0.3978812 
nnet mean 143 : -0.4031481 
nnet RMSE 143 : 0.1598215 


s: 144 
logit 144 : -0.5110514 
logit mean 144 : -0.3998682 
logit RMSE 144 : 0.06215259 

boosting 144 : -0.5584107 
boosting mean 144 : -0.4867012 
boosting RMSE 144 : 0.1572210 

forest 144 : -0.3243024 
forest mean 144 : -0.3605037 
forest RMSE 144 : 0.06340078 

nnet 144 : -0.5275636 
nnet mean 144 : -0.4040121 
nnet RMSE 144 : 0.1596199 


s: 145 
logit 145 : -0.3993129 
logit mean 145 : -0.3998643 
logit RMSE 145 : 0.06193793 

boosting 145 : -0.6019407 
boosting mean 145 : -0.4874959 
boosting RMSE 145 : 0.1575729 

forest 145 : -0.3498118 
forest mean 145 : -0.3604300 
forest RMSE 145 : 0.0633191 

nnet 145 : -0.5734987 
nnet mean 145 : -0.405181 
nnet RMSE 145 : 0.1597198 


s: 146 
logit 146 : -0.4615194 
logit mean 146 : -0.4002866 
logit RMSE 146 : 0.06193507 

boosting 146 : -0.5924955 
boosting mean 146 : -0.4882151 
boosting RMSE 146 : 0.1578384 

forest 146 : -0.3466822 
forest mean 146 : -0.3603358 
forest RMSE 146 : 0.06325598 

nnet 146 : -0.4270848 
nnet mean 146 : -0.405331 
nnet RMSE 146 : 0.1591876 


s: 147 
logit 147 : -0.3700895 
logit mean 147 : -0.4000812 
logit RMSE 147 : 0.06177333 

boosting 147 : -0.4902419 
boosting mean 147 : -0.4882289 
boosting RMSE 147 : 0.1574766 

forest 147 : -0.3918067 
forest mean 147 : -0.3605499 
forest RMSE 147 : 0.06304408 

nnet 147 : -0.462292 
nnet mean 147 : -0.4057185 
nnet RMSE 147 : 0.1587284 


s: 148 
logit 148 : -0.432117 
logit mean 148 : -0.4002977 
logit RMSE 148 : 0.06162086 

boosting 148 : -0.2866145 
boosting mean 148 : -0.4868666 
boosting RMSE 148 : 0.1572202 

forest 148 : -0.310366 
forest mean 148 : -0.3602108 
forest RMSE 148 : 0.06326125 

nnet 148 : -0.4328806 
nnet mean 148 : -0.4059020 
nnet RMSE 148 : 0.1582144 


s: 149 
logit 149 : -0.4306821 
logit mean 149 : -0.4005016 
logit RMSE 149 : 0.06146514 

boosting 149 : -0.4449479 
boosting mean 149 : -0.4865853 
boosting RMSE 149 : 0.156735 

forest 149 : -0.3078336 
forest mean 149 : -0.3598593 
forest RMSE 149 : 0.06349912 

nnet 149 : -0.4817213 
nnet mean 149 : -0.4064109 
nnet RMSE 149 : 0.1578246 


s: 150 
logit 150 : -0.3602541 
logit mean 150 : -0.4002333 
logit RMSE 150 : 0.06134582 

boosting 150 : -0.4263029 
boosting mean 150 : -0.4861834 
boosting RMSE 150 : 0.1562264 

forest 150 : -0.2670601 
forest mean 150 : -0.3592406 
forest RMSE 150 : 0.06421119 

nnet 150 : -0.3160719 
nnet mean 150 : -0.4058086 
nnet RMSE 150 : 0.1574468 


s: 151 
logit 151 : -0.4020967 
logit mean 151 : -0.4002456 
logit RMSE 151 : 0.06114258 

boosting 151 : -0.816292 
boosting mean 151 : -0.4883695 
boosting RMSE 151 : 0.159351 

forest 151 : -0.3788629 
forest mean 151 : -0.3593706 
forest RMSE 151 : 0.06402133 

nnet 151 : -0.2552790 
nnet mean 151 : -0.4048118 
nnet RMSE 151 : 0.1573659 


s: 152 
logit 152 : -0.4127938 
logit mean 152 : -0.4003282 
logit RMSE 152 : 0.06094996 

boosting 152 : -0.2268557 
boosting mean 152 : -0.4866491 
boosting RMSE 152 : 0.1594456 

forest 152 : -0.3947302 
forest mean 152 : -0.3596032 
forest RMSE 152 : 0.06381182 

nnet 152 : -0.4913281 
nnet mean 152 : -0.4053809 
nnet RMSE 152 : 0.1570223 


s: 153 
logit 153 : -0.4323442 
logit mean 153 : -0.4005374 
logit RMSE 153 : 0.0608067 

boosting 153 : -0.6189267 
boosting mean 153 : -0.4875136 
boosting RMSE 153 : 0.1599062 

forest 153 : -0.2586379 
forest mean 153 : -0.3589433 
forest RMSE 153 : 0.06462154 

nnet 153 : -0.6740319 
nnet mean 153 : -0.4071368 
nnet RMSE 153 : 0.1580685 


s: 154 
logit 154 : -0.356829 
logit mean 154 : -0.4002536 
logit RMSE 154 : 0.06070871 

boosting 154 : -0.4914968 
boosting mean 154 : -0.4875395 
boosting RMSE 154 : 0.1595567 

forest 154 : -0.3284945 
forest mean 154 : -0.3587456 
forest RMSE 154 : 0.06466861 

nnet 154 : -0.3418764 
nnet mean 154 : -0.4067131 
nnet RMSE 154 : 0.1576241 


s: 155 
logit 155 : -0.3991053 
logit mean 155 : -0.4002462 
logit RMSE 155 : 0.0605126 

boosting 155 : -0.5531078 
boosting mean 155 : -0.4879625 
boosting RMSE 155 : 0.1595159 

forest 155 : -0.3592477 
forest mean 155 : -0.3587488 
forest RMSE 155 : 0.06454272 

nnet 155 : -0.5137412 
nnet mean 155 : -0.4074036 
nnet RMSE 155 : 0.1573802 


s: 156 
logit 156 : -0.3976202 
logit mean 156 : -0.4002294 
logit RMSE 156 : 0.06031864 

boosting 156 : -0.7051234 
boosting mean 156 : -0.4893546 
boosting RMSE 156 : 0.1608695 

forest 156 : -0.4238406 
forest mean 156 : -0.3591661 
forest RMSE 156 : 0.06436383 

nnet 156 : -0.4264605 
nnet mean 156 : -0.4075257 
nnet RMSE 156 : 0.1568892 


s: 157 
logit 157 : -0.4616829 
logit mean 157 : -0.4006208 
logit RMSE 157 : 0.06032743 

boosting 157 : -0.5203528 
boosting mean 157 : -0.489552 
boosting RMSE 157 : 0.1606438 

forest 157 : -0.3075655 
forest mean 157 : -0.3588374 
forest RMSE 157 : 0.06458124 

nnet 157 : -0.4697148 
nnet mean 157 : -0.4079218 
nnet RMSE 157 : 0.1564877 


s: 158 
logit 158 : -0.3251997 
logit mean 158 : -0.4001434 
logit RMSE 158 : 0.06042993 

boosting 158 : -0.5447027 
boosting mean 158 : -0.4899011 
boosting RMSE 158 : 0.1605479 

forest 158 : -0.4265397 
forest mean 158 : -0.3592659 
forest RMSE 158 : 0.06441116 

nnet 158 : -0.4990566 
nnet mean 158 : -0.4084986 
nnet RMSE 158 : 0.1561907 


s: 159 
logit 159 : -0.3091611 
logit mean 159 : -0.3995712 
logit RMSE 159 : 0.06066883 

boosting 159 : -0.6534751 
boosting mean 159 : -0.4909298 
boosting RMSE 159 : 0.1612997 

forest 159 : -0.3961309 
forest mean 159 : -0.3594977 
forest RMSE 159 : 0.06420902 

nnet 159 : -0.4223157 
nnet mean 159 : -0.4085855 
nnet RMSE 159 : 0.1557088 


s: 160 
logit 160 : -0.2966821 
logit mean 160 : -0.3989282 
logit RMSE 160 : 0.06102801 

boosting 160 : -0.5232219 
boosting mean 160 : -0.4911317 
boosting RMSE 160 : 0.1610897 

forest 160 : -0.3473151 
forest mean 160 : -0.3594216 
forest RMSE 160 : 0.06414343 

nnet 160 : -0.3395427 
nnet mean 160 : -0.408154 
nnet RMSE 160 : 0.155295 


s: 161 
logit 161 : -0.420219 
logit mean 161 : -0.3990604 
logit RMSE 161 : 0.06085905 

boosting 161 : -0.2061441 
boosting mean 161 : -0.4893615 
boosting RMSE 161 : 0.1613137 

forest 161 : -0.3638581 
forest mean 161 : -0.3594492 
forest RMSE 161 : 0.06400732 

nnet 161 : -0.5548964 
nnet mean 161 : -0.4090655 
nnet RMSE 161 : 0.1552925 


s: 162 
logit 162 : -0.4452527 
logit mean 162 : -0.3993455 
logit RMSE 162 : 0.06077501 

boosting 162 : -0.3656438 
boosting mean 162 : -0.4885979 
boosting RMSE 162 : 0.1608377 

forest 162 : -0.3151932 
forest mean 162 : -0.359176 
forest RMSE 162 : 0.0641564 

nnet 162 : -0.6035383 
nnet mean 162 : -0.4102659 
nnet RMSE 162 : 0.1556362 


s: 163 
logit 163 : -0.4424357 
logit mean 163 : -0.3996099 
logit RMSE 163 : 0.0606794 

boosting 163 : -0.6661529 
boosting mean 163 : -0.4896871 
boosting RMSE 163 : 0.1616931 

forest 163 : -0.4134405 
forest mean 163 : -0.3595089 
forest RMSE 163 : 0.06396797 

nnet 163 : -0.4749224 
nnet mean 163 : -0.4106626 
nnet RMSE 163 : 0.155269 


s: 164 
logit 164 : -0.412985 
logit mean 164 : -0.3996914 
logit RMSE 164 : 0.06050262 

boosting 164 : -0.6644661 
boosting mean 164 : -0.4907529 
boosting RMSE 164 : 0.1625168 

forest 164 : -0.414606 
forest mean 164 : -0.3598448 
forest RMSE 164 : 0.06378284 

nnet 164 : -0.3702107 
nnet mean 164 : -0.4104159 
nnet RMSE 164 : 0.1548124 


s: 165 
logit 165 : -0.4675692 
logit mean 165 : -0.4001028 
logit RMSE 165 : 0.06054793 

boosting 165 : -0.2416164 
boosting mean 165 : -0.489243 
boosting RMSE 165 : 0.1624921 

forest 165 : -0.2811859 
forest mean 165 : -0.3593681 
forest RMSE 165 : 0.06425847 

nnet 165 : -0.5705488 
nnet mean 165 : -0.4113864 
nnet RMSE 165 : 0.1549126 


s: 166 
logit 166 : -0.4601024 
logit mean 166 : -0.4004643 
logit RMSE 166 : 0.06054526 

boosting 166 : -0.560348 
boosting mean 166 : -0.4896713 
boosting RMSE 166 : 0.1624793 

forest 166 : -0.4236596 
forest mean 166 : -0.3597554 
forest RMSE 166 : 0.06409094 

nnet 166 : -0.4426822 
nnet mean 166 : -0.4115750 
nnet RMSE 166 : 0.1544808 


s: 167 
logit 167 : -0.4037400 
logit mean 167 : -0.4004839 
logit RMSE 167 : 0.0603644 

boosting 167 : -0.627273 
boosting mean 167 : -0.4904953 
boosting RMSE 167 : 0.1629440 

forest 167 : -0.3499419 
forest mean 167 : -0.3596967 
forest RMSE 167 : 0.06401607 

nnet 167 : -0.5978302 
nnet mean 167 : -0.4126903 
nnet RMSE 167 : 0.1547765 


s: 168 
logit 168 : -0.4158528 
logit mean 168 : -0.4005754 
logit RMSE 168 : 0.06019691 

boosting 168 : -0.4106607 
boosting mean 168 : -0.4900201 
boosting RMSE 168 : 0.1624604 

forest 168 : -0.4803126 
forest mean 168 : -0.3604146 
forest RMSE 168 : 0.06412532 

nnet 168 : -0.4607334 
nnet mean 168 : -0.4129762 
nnet RMSE 168 : 0.1543863 


s: 169 
logit 169 : -0.3145223 
logit mean 169 : -0.4000662 
logit RMSE 169 : 0.06037764 

boosting 169 : -0.4863869 
boosting mean 169 : -0.4899986 
boosting RMSE 169 : 0.1621152 

forest 169 : -0.3029338 
forest mean 169 : -0.3600745 
forest RMSE 169 : 0.06436984 

nnet 169 : -0.5951251 
nnet mean 169 : -0.414054 
nnet RMSE 169 : 0.1546589 


s: 170 
logit 170 : -0.345677 
logit mean 170 : -0.3997462 
logit RMSE 170 : 0.0603438 

boosting 170 : -0.745603 
boosting mean 170 : -0.4915021 
boosting RMSE 170 : 0.1637967 

forest 170 : -0.2965182 
forest mean 170 : -0.3597006 
forest RMSE 170 : 0.06466911 

nnet 170 : -0.5101725 
nnet mean 170 : -0.4146194 
nnet RMSE 170 : 0.1544347 


s: 171 
logit 171 : -0.3056513 
logit mean 171 : -0.399196 
logit RMSE 171 : 0.06059815 

boosting 171 : -0.4181833 
boosting mean 171 : -0.4910733 
boosting RMSE 171 : 0.1633230 

forest 171 : -0.3529192 
forest mean 171 : -0.359661 
forest RMSE 171 : 0.06458018 

nnet 171 : -0.1349365 
nnet mean 171 : -0.4129839 
nnet RMSE 171 : 0.1553109 


s: 172 
logit 172 : -0.3237756 
logit mean 172 : -0.3987575 
logit RMSE 172 : 0.06070063 

boosting 172 : -0.5222498 
boosting mean 172 : -0.4912546 
boosting RMSE 172 : 0.1631141 

forest 172 : -0.3291208 
forest mean 172 : -0.3594834 
forest RMSE 172 : 0.06461858 

nnet 172 : -0.37328 
nnet mean 172 : -0.412753 
nnet RMSE 172 : 0.1548721 


s: 173 
logit 173 : -0.3610451 
logit mean 173 : -0.3985395 
logit RMSE 173 : 0.06059736 

boosting 173 : -0.3202667 
boosting mean 173 : -0.4902662 
boosting RMSE 173 : 0.1627549 

forest 173 : -0.3389277 
forest mean 173 : -0.3593646 
forest RMSE 173 : 0.06459864 

nnet 173 : -0.3422883 
nnet mean 173 : -0.4123457 
nnet RMSE 173 : 0.1544862 


s: 174 
logit 174 : -0.4296627 
logit mean 174 : -0.3987184 
logit RMSE 174 : 0.06046481 

boosting 174 : -0.3023646 
boosting mean 174 : -0.4891863 
boosting RMSE 174 : 0.1624552 

forest 174 : -0.3556921 
forest mean 174 : -0.3593435 
forest RMSE 174 : 0.06450026 

nnet 174 : 0.02779886 
nnet mean 174 : -0.4098161 
nnet RMSE 174 : 0.1574186 


s: 175 
logit 175 : -0.2635819 
logit mean 175 : -0.3979462 
logit RMSE 175 : 0.06116734 

boosting 175 : -0.4159379 
boosting mean 175 : -0.4887678 
boosting RMSE 175 : 0.1619949 

forest 175 : -0.3157668 
forest mean 175 : -0.3590945 
forest RMSE 175 : 0.06463014 

nnet 175 : -0.4646318 
nnet mean 175 : -0.4101294 
nnet RMSE 175 : 0.1570442 


s: 176 
logit 176 : -0.4966412 
logit mean 176 : -0.3985069 
logit RMSE 176 : 0.0614268 

boosting 176 : -0.5777009 
boosting mean 176 : -0.4892731 
boosting RMSE 176 : 0.1620884 

forest 176 : -0.3195031 
forest mean 176 : -0.3588695 
forest RMSE 176 : 0.06473128 

nnet 176 : -0.407422 
nnet mean 176 : -0.410114 
nnet RMSE 176 : 0.1565984 


s: 177 
logit 177 : -0.3144279 
logit mean 177 : -0.3980319 
logit RMSE 177 : 0.0615898 

boosting 177 : -0.5935964 
boosting mean 177 : -0.4898625 
boosting RMSE 177 : 0.1622836 

forest 177 : -0.3716034 
forest mean 177 : -0.3589415 
forest RMSE 177 : 0.06458345 

nnet 177 : -0.544654 
nnet mean 177 : -0.4108741 
nnet RMSE 177 : 0.1565335 


s: 178 
logit 178 : -0.3987274 
logit mean 178 : -0.3980358 
logit RMSE 178 : 0.06141663 

boosting 178 : -0.5424999 
boosting mean 178 : -0.4901582 
boosting RMSE 178 : 0.1621792 

forest 178 : -0.3335331 
forest mean 178 : -0.3587987 
forest RMSE 178 : 0.06459418 

nnet 178 : -0.4296289 
nnet mean 178 : -0.4109795 
nnet RMSE 178 : 0.156109 


s: 179 
logit 179 : -0.4539863 
logit mean 179 : -0.3983484 
logit RMSE 179 : 0.06137762 

boosting 179 : -0.4161349 
boosting mean 179 : -0.4897447 
boosting RMSE 179 : 0.1617301 

forest 179 : -0.3851458 
forest mean 179 : -0.3589459 
forest RMSE 179 : 0.06442306 

nnet 179 : -0.7283645 
nnet mean 179 : -0.4127526 
nnet RMSE 179 : 0.1575952 


s: 180 
logit 180 : -0.4807571 
logit mean 180 : -0.3988062 
logit RMSE 180 : 0.06150215 

boosting 180 : -0.5875988 
boosting mean 180 : -0.4902883 
boosting RMSE 180 : 0.1618852 

forest 180 : -0.3325894 
forest mean 180 : -0.3587995 
forest RMSE 180 : 0.06444004 

nnet 180 : -0.5136157 
nnet mean 180 : -0.4133129 
nnet RMSE 180 : 0.1573848 


s: 181 
logit 181 : -0.5178766 
logit mean 181 : -0.3994641 
logit RMSE 181 : 0.0619547 

boosting 181 : -0.3318681 
boosting mean 181 : -0.489413 
boosting RMSE 181 : 0.1615168 

forest 181 : -0.3657988 
forest mean 181 : -0.3588382 
forest RMSE 181 : 0.06431205 

nnet 181 : -0.4401125 
nnet mean 181 : -0.413461 
nnet RMSE 181 : 0.1569777 


s: 182 
logit 182 : -0.4171228 
logit mean 182 : -0.3995611 
logit RMSE 182 : 0.06179729 

boosting 182 : -0.3524568 
boosting mean 182 : -0.4886605 
boosting RMSE 182 : 0.161111 

forest 182 : -0.4070642 
forest mean 182 : -0.3591031 
forest RMSE 182 : 0.06413726 

nnet 182 : -0.4247988 
nnet mean 182 : -0.4135233 
nnet RMSE 182 : 0.1565567 


s: 183 
logit 183 : -0.4419550 
logit mean 183 : -0.3997927 
logit RMSE 183 : 0.0617062 

boosting 183 : -0.3950191 
boosting mean 183 : -0.4881488 
boosting RMSE 183 : 0.1606706 

forest 183 : -0.3546024 
forest mean 183 : -0.3590785 
forest RMSE 183 : 0.06404976 

nnet 183 : -0.3507773 
nnet mean 183 : -0.4131804 
nnet RMSE 183 : 0.1561707 


s: 184 
logit 184 : -0.4670596 
logit mean 184 : -0.4001583 
logit RMSE 184 : 0.06173655 

boosting 184 : -0.5648203 
boosting mean 184 : -0.4885655 
boosting RMSE 184 : 0.1606935 

forest 184 : -0.2970872 
forest mean 184 : -0.3587416 
forest RMSE 184 : 0.06432446 

nnet 184 : -0.49142 
nnet mean 184 : -0.4136056 
nnet RMSE 184 : 0.1558915 


s: 185 
logit 185 : -0.4086377 
logit mean 185 : -0.4002042 
logit RMSE 185 : 0.06157274 

boosting 185 : -0.613698 
boosting mean 185 : -0.4892419 
boosting RMSE 185 : 0.1610269 

forest 185 : -0.3617861 
forest mean 185 : -0.3587581 
forest RMSE 185 : 0.06421187 

nnet 185 : -0.5346048 
nnet mean 185 : -0.4142597 
nnet RMSE 185 : 0.1557843 


s: 186 
logit 186 : -0.3996026 
logit mean 186 : -0.4002009 
logit RMSE 186 : 0.06140701 

boosting 186 : -0.5913896 
boosting mean 186 : -0.4897911 
boosting RMSE 186 : 0.1612054 

forest 186 : -0.3510201 
forest mean 186 : -0.3587165 
forest RMSE 186 : 0.06413965 

nnet 186 : -0.2420675 
nnet mean 186 : -0.4133339 
nnet RMSE 186 : 0.1557959 


s: 187 
logit 187 : -0.4401559 
logit mean 187 : -0.4004146 
logit RMSE 187 : 0.06131296 

boosting 187 : -0.2319233 
boosting mean 187 : -0.4884121 
boosting RMSE 187 : 0.1612429 

forest 187 : -0.4065951 
forest mean 187 : -0.3589725 
forest RMSE 187 : 0.06396974 

nnet 187 : -0.3133621 
nnet mean 187 : -0.4127993 
nnet RMSE 187 : 0.1555079 


s: 188 
logit 188 : -0.4680499 
logit mean 188 : -0.4007743 
logit RMSE 188 : 0.06135075 

boosting 188 : -0.4117533 
boosting mean 188 : -0.4880044 
boosting RMSE 188 : 0.1608158 

forest 188 : -0.3560312 
forest mean 188 : -0.3589569 
forest RMSE 188 : 0.06387992 

nnet 188 : -0.4096504 
nnet mean 188 : -0.4127826 
nnet RMSE 188 : 0.1550954 


s: 189 
logit 189 : -0.3073763 
logit mean 189 : -0.4002802 
logit RMSE 189 : 0.06155804 

boosting 189 : -0.4162046 
boosting mean 189 : -0.4876245 
boosting RMSE 189 : 0.1603941 

forest 189 : -0.2823089 
forest mean 189 : -0.3585513 
forest RMSE 189 : 0.06428328 

nnet 189 : -0.2563791 
nnet mean 189 : -0.411955 
nnet RMSE 189 : 0.1550369 


s: 190 
logit 190 : -0.5114876 
logit mean 190 : -0.4008655 
logit RMSE 190 : 0.0619263 

boosting 190 : -0.5471545 
boosting mean 190 : -0.4879378 
boosting RMSE 190 : 0.1603273 

forest 190 : -0.4168762 
forest mean 190 : -0.3588583 
forest RMSE 190 : 0.06412558 

nnet 190 : -0.388317 
nnet mean 190 : -0.4118306 
nnet RMSE 190 : 0.1546307 


s: 191 
logit 191 : -0.4399857 
logit mean 191 : -0.4010703 
logit RMSE 191 : 0.0618317 

boosting 191 : -0.3953385 
boosting mean 191 : -0.487453 
boosting RMSE 191 : 0.1599074 

forest 191 : -0.3961192 
forest mean 191 : -0.3590534 
forest RMSE 191 : 0.06395811 

nnet 191 : -0.4368050 
nnet mean 191 : -0.4119614 
nnet RMSE 191 : 0.1542483 


s: 192 
logit 192 : -0.4163535 
logit mean 192 : -0.4011499 
logit RMSE 192 : 0.06168176 

boosting 192 : -0.713641 
boosting mean 192 : -0.488631 
boosting RMSE 192 : 0.1610886 

forest 192 : -0.4054903 
forest mean 192 : -0.3592952 
forest RMSE 192 : 0.06379257 

nnet 192 : -0.7815413 
nnet mean 192 : -0.4138863 
nnet RMSE 192 : 0.1562909 


s: 193 
logit 193 : -0.3832088 
logit mean 193 : -0.4010569 
logit RMSE 193 : 0.06153363 

boosting 193 : -0.5677845 
boosting mean 193 : -0.4890412 
boosting RMSE 193 : 0.1611241 

forest 193 : -0.3316791 
forest mean 193 : -0.3591522 
forest RMSE 193 : 0.06381686 

nnet 193 : -0.4642738 
nnet mean 193 : -0.4141473 
nnet RMSE 193 : 0.1559541 


s: 194 
logit 194 : -0.2980821 
logit mean 194 : -0.4005261 
logit RMSE 194 : 0.06180949 

boosting 194 : -0.5318832 
boosting mean 194 : -0.489262 
boosting RMSE 194 : 0.1609869 

forest 194 : -0.3923374 
forest mean 194 : -0.3593232 
forest RMSE 194 : 0.06365455 

nnet 194 : -0.3944539 
nnet mean 194 : -0.4140458 
nnet RMSE 194 : 0.1555521 


s: 195 
logit 195 : -0.4120168 
logit mean 195 : -0.4005851 
logit RMSE 195 : 0.0616568 

boosting 195 : -0.5509841 
boosting mean 195 : -0.4895785 
boosting RMSE 195 : 0.1609372 

forest 195 : -0.3497743 
forest mean 195 : -0.3592742 
forest RMSE 195 : 0.06359291 

nnet 195 : -0.6198536 
nnet mean 195 : -0.4151012 
nnet RMSE 195 : 0.1559495 


s: 196 
logit 196 : -0.3275728 
logit mean 196 : -0.4002126 
logit RMSE 196 : 0.06171653 

boosting 196 : -0.5449232 
boosting mean 196 : -0.4898609 
boosting RMSE 196 : 0.1608596 

forest 196 : -0.393897 
forest mean 196 : -0.3594509 
forest RMSE 196 : 0.06343198 

nnet 196 : -0.3701265 
nnet mean 196 : -0.4148718 
nnet RMSE 196 : 0.1555658 


s: 197 
logit 197 : -0.3859648 
logit mean 197 : -0.4001402 
logit RMSE 197 : 0.06156781 

boosting 197 : -0.5038668 
boosting mean 197 : -0.489932 
boosting RMSE 197 : 0.1606213 

forest 197 : -0.3758718 
forest mean 197 : -0.3595342 
forest RMSE 197 : 0.06329413 

nnet 197 : -0.3657047 
nnet mean 197 : -0.4146222 
nnet RMSE 197 : 0.1551897 


s: 198 
logit 198 : -0.3688585 
logit mean 198 : -0.3999822 
logit RMSE 198 : 0.061452 

boosting 198 : -0.7508153 
boosting mean 198 : -0.4912496 
boosting RMSE 198 : 0.1621434 

forest 198 : -0.3123475 
forest mean 198 : -0.3592959 
forest RMSE 198 : 0.06344065 

nnet 198 : -0.2192998 
nnet mean 198 : -0.4136357 
nnet RMSE 198 : 0.1553291 


s: 199 
logit 199 : -0.3262446 
logit mean 199 : -0.3996117 
logit RMSE 199 : 0.06151998 

boosting 199 : -0.3212322 
boosting mean 199 : -0.4903952 
boosting RMSE 199 : 0.1618319 

forest 199 : -0.3775649 
forest mean 199 : -0.3593877 
forest RMSE 199 : 0.06330103 

nnet 199 : -0.4097167 
nnet mean 199 : -0.413616 
nnet RMSE 199 : 0.1549398 


s: 200 
logit 200 : -0.2795749 
logit mean 200 : -0.3990115 
logit RMSE 200 : 0.06195398 

boosting 200 : -0.460648 
boosting mean 200 : -0.4902465 
boosting RMSE 200 : 0.1614837 

forest 200 : -0.3737638 
forest mean 200 : -0.3594596 
forest RMSE 200 : 0.06316983 

nnet 200 : -0.3437139 
nnet mean 200 : -0.4132665 
nnet RMSE 200 : 0.1546032 


s: 201 
logit 201 : -0.5542546 
logit mean 201 : -0.3997839 
logit RMSE 201 : 0.06275014 

boosting 201 : -0.5173037 
boosting mean 201 : -0.4903811 
boosting RMSE 201 : 0.1612939 

forest 201 : -0.3784244 
forest mean 201 : -0.359554 
forest RMSE 201 : 0.06303087 

nnet 201 : -0.3093696 
nnet mean 201 : -0.4127496 
nnet RMSE 201 : 0.1543506 


s: 202 
logit 202 : -0.380369 
logit mean 202 : -0.3996878 
logit RMSE 202 : 0.06260986 

boosting 202 : -0.5670642 
boosting mean 202 : -0.4907607 
boosting RMSE 202 : 0.1613230 

forest 202 : -0.4049858 
forest mean 202 : -0.3597789 
forest RMSE 202 : 0.06287564 

nnet 202 : -0.7407504 
nnet mean 202 : -0.4143734 
nnet RMSE 202 : 0.1558235 


s: 203 
logit 203 : -0.3941816 
logit mean 203 : -0.3996606 
logit RMSE 203 : 0.06245679 

boosting 203 : -0.3911763 
boosting mean 203 : -0.4902702 
boosting RMSE 203 : 0.1609263 

forest 203 : -0.2808966 
forest mean 203 : -0.3593903 
forest RMSE 203 : 0.0632752 

nnet 203 : -0.2908343 
nnet mean 203 : -0.4137648 
nnet RMSE 203 : 0.155628 


s: 204 
logit 204 : -0.4562248 
logit mean 204 : -0.3999379 
logit RMSE 204 : 0.06242776 

boosting 204 : -0.3824684 
boosting mean 204 : -0.4897417 
boosting RMSE 204 : 0.1605361 

forest 204 : -0.3224087 
forest mean 204 : -0.359209 
forest RMSE 204 : 0.06335327 

nnet 204 : -0.2180833 
nnet mean 204 : -0.4128056 
nnet RMSE 204 : 0.1557677 


s: 205 
logit 205 : -0.3516377 
logit mean 205 : -0.3997023 
logit RMSE 205 : 0.06236685 

boosting 205 : -0.6763909 
boosting mean 205 : -0.4906522 
boosting RMSE 205 : 0.1613033 

forest 205 : -0.3645848 
forest mean 205 : -0.3592352 
forest RMSE 205 : 0.06324695 

nnet 205 : -0.4118698 
nnet mean 205 : -0.412801 
nnet RMSE 205 : 0.1553895 


s: 206 
logit 206 : -0.4119082 
logit mean 206 : -0.3997616 
logit RMSE 206 : 0.06222082 

boosting 206 : -0.6507774 
boosting mean 206 : -0.4914295 
boosting RMSE 206 : 0.1618572 

forest 206 : -0.3591254 
forest mean 206 : -0.3592347 
forest RMSE 206 : 0.06315749 

nnet 206 : -0.5297778 
nnet mean 206 : -0.4133689 
nnet RMSE 206 : 0.1552754 


s: 207 
logit 207 : -0.4005006 
logit mean 207 : -0.3997651 
logit RMSE 207 : 0.06207036 

boosting 207 : -0.3766948 
boosting mean 207 : -0.4908752 
boosting RMSE 207 : 0.1614739 

forest 207 : -0.4629962 
forest mean 207 : -0.359736 
forest RMSE 207 : 0.06315671 

nnet 207 : -0.3871279 
nnet mean 207 : -0.4132421 
nnet RMSE 207 : 0.1549024 


s: 208 
logit 208 : -0.3596943 
logit mean 208 : -0.3995725 
logit RMSE 208 : 0.061984 

boosting 208 : -0.4859485 
boosting mean 208 : -0.4908515 
boosting RMSE 208 : 0.1611955 

forest 208 : -0.3615823 
forest mean 208 : -0.3597448 
forest RMSE 208 : 0.06306099 

nnet 208 : -0.3943889 
nnet mean 208 : -0.4131515 
nnet RMSE 208 : 0.1545301 


s: 209 
logit 209 : -0.3966492 
logit mean 209 : -0.3995585 
logit RMSE 209 : 0.06183597 

boosting 209 : -0.3985632 
boosting mean 209 : -0.49041 
boosting RMSE 209 : 0.1608094 

forest 209 : -0.3305878 
forest mean 209 : -0.3596053 
forest RMSE 209 : 0.0630929 

nnet 209 : -0.3888722 
nnet mean 209 : -0.4130353 
nnet RMSE 209 : 0.1541619 


s: 210 
logit 210 : -0.5440677 
logit mean 210 : -0.4002466 
logit RMSE 210 : 0.06248452 

boosting 210 : -0.5879261 
boosting mean 210 : -0.4908743 
boosting RMSE 210 : 0.1609493 

forest 210 : -0.4426583 
forest mean 210 : -0.3600008 
forest RMSE 210 : 0.0630113 

nnet 210 : -0.5398901 
nnet mean 210 : -0.4136394 
nnet RMSE 210 : 0.1540971 


s: 211 
logit 211 : -0.3878125 
logit mean 211 : -0.4001877 
logit RMSE 211 : 0.06234192 

boosting 211 : -0.4774217 
boosting mean 211 : -0.4908106 
boosting RMSE 211 : 0.1606559 

forest 211 : -0.4118999 
forest mean 211 : -0.3602468 
forest RMSE 211 : 0.06286715 

nnet 211 : -0.3493743 
nnet mean 211 : -0.4133348 
nnet RMSE 211 : 0.153771 


s: 212 
logit 212 : -0.5247422 
logit mean 212 : -0.4007752 
logit RMSE 212 : 0.06278202 

boosting 212 : -0.7201215 
boosting mean 212 : -0.4918922 
boosting RMSE 212 : 0.1617775 

forest 212 : -0.4605609 
forest mean 212 : -0.36072 
forest RMSE 212 : 0.06285647 

nnet 212 : -0.5666836 
nnet mean 212 : -0.4140581 
nnet RMSE 212 : 0.1538344 


s: 213 
logit 213 : -0.4944723 
logit mean 213 : -0.4012151 
logit RMSE 213 : 0.06296807 

boosting 213 : -0.614219 
boosting mean 213 : -0.4924665 
boosting RMSE 213 : 0.1620634 

forest 213 : -0.3726618 
forest mean 213 : -0.3607760 
forest RMSE 213 : 0.06273671 

nnet 213 : -0.4614584 
nnet mean 213 : -0.4142807 
nnet RMSE 213 : 0.1535307 


s: 214 
logit 214 : -0.3599072 
logit mean 214 : -0.4010221 
logit RMSE 214 : 0.06288054 

boosting 214 : -0.4589447 
boosting mean 214 : -0.4923099 
boosting RMSE 214 : 0.1617345 

forest 214 : -0.4286057 
forest mean 214 : -0.361093 
forest RMSE 214 : 0.0626205 

nnet 214 : -0.3388582 
nnet mean 214 : -0.4139282 
nnet RMSE 214 : 0.1532285 


s: 215 
logit 215 : -0.4001527 
logit mean 215 : -0.401018 
logit RMSE 215 : 0.06273413 

boosting 215 : -0.3474590 
boosting mean 215 : -0.4916362 
boosting RMSE 215 : 0.1613977 

forest 215 : -0.3057152 
forest mean 215 : -0.3608354 
forest RMSE 215 : 0.06280474 

nnet 215 : -0.50554 
nnet mean 215 : -0.4143543 
nnet RMSE 215 : 0.1530411 


s: 216 
logit 216 : -0.4327988 
logit mean 216 : -0.4011652 
logit RMSE 216 : 0.06262852 

boosting 216 : -0.5864732 
boosting mean 216 : -0.4920752 
boosting RMSE 216 : 0.1615228 

forest 216 : -0.382451 
forest mean 216 : -0.3609355 
forest RMSE 216 : 0.06267057 

nnet 216 : -0.5628517 
nnet mean 216 : -0.4150418 
nnet RMSE 216 : 0.153088 


s: 217 
logit 217 : -0.3753993 
logit mean 217 : -0.4010464 
logit RMSE 217 : 0.06250636 

boosting 217 : -0.3539040 
boosting mean 217 : -0.4914385 
boosting RMSE 217 : 0.1611805 

forest 217 : -0.3452525 
forest mean 217 : -0.3608632 
forest RMSE 217 : 0.06263635 

nnet 217 : -0.3663802 
nnet mean 217 : -0.4148176 
nnet RMSE 217 : 0.1527519 


s: 218 
logit 218 : -0.3590776 
logit mean 218 : -0.4008539 
logit RMSE 218 : 0.06242439 

boosting 218 : -0.3554281 
boosting mean 218 : -0.4908146 
boosting RMSE 218 : 0.1608388 

forest 218 : -0.3510757 
forest mean 218 : -0.3608183 
forest RMSE 218 : 0.06258031 

nnet 218 : -0.6304755 
nnet mean 218 : -0.4158068 
nnet RMSE 218 : 0.1531985 


s: 219 
logit 219 : -0.3216483 
logit mean 219 : -0.4004922 
logit RMSE 219 : 0.06250634 

boosting 219 : -0.3021966 
boosting mean 219 : -0.4899533 
boosting RMSE 219 : 0.1606072 

forest 219 : -0.3160872 
forest mean 219 : -0.3606141 
forest RMSE 219 : 0.06269422 

nnet 219 : -0.3424207 
nnet mean 219 : -0.4154717 
nnet RMSE 219 : 0.1528978 


s: 220 
logit 220 : -0.3338164 
logit mean 220 : -0.4001892 
logit RMSE 220 : 0.06252355 

boosting 220 : -0.3145059 
boosting mean 220 : -0.4891558 
boosting RMSE 220 : 0.1603454 

forest 220 : -0.3034949 
forest mean 220 : -0.3603544 
forest RMSE 220 : 0.06288904 

nnet 220 : -0.5055811 
nnet mean 220 : -0.4158813 
nnet RMSE 220 : 0.1527159 


s: 221 
logit 221 : -0.3613822 
logit mean 221 : -0.4000136 
logit RMSE 221 : 0.062436 

boosting 221 : -0.6027439 
boosting mean 221 : -0.4896698 
boosting RMSE 221 : 0.1605624 

forest 221 : -0.3304412 
forest mean 221 : -0.3602191 
forest RMSE 221 : 0.06292082 

nnet 221 : -0.5251381 
nnet mean 221 : -0.4163757 
nnet RMSE 221 : 0.1526024 


s: 222 
logit 222 : -0.3161173 
logit mean 222 : -0.3996357 
logit RMSE 222 : 0.06254909 

boosting 222 : -0.3280545 
boosting mean 222 : -0.4889418 
boosting RMSE 222 : 0.1602732 

forest 222 : -0.3821061 
forest mean 222 : -0.3603177 
forest RMSE 222 : 0.06279043 

nnet 222 : -0.6199195 
nnet mean 222 : -0.4172926 
nnet RMSE 222 : 0.1529720 


s: 223 
logit 223 : -0.3747211 
logit mean 223 : -0.3995239 
logit RMSE 223 : 0.06243164 

boosting 223 : -0.4295491 
boosting mean 223 : -0.4886755 
boosting RMSE 223 : 0.1599256 

forest 223 : -0.3727144 
forest mean 223 : -0.3603733 
forest RMSE 223 : 0.06267613 

nnet 223 : -0.5338105 
nnet mean 223 : -0.4178151 
nnet RMSE 223 : 0.1528915 


s: 224 
logit 224 : -0.4044817 
logit mean 224 : -0.3995461 
logit RMSE 224 : 0.06229285 

boosting 224 : -0.4044398 
boosting mean 224 : -0.4882994 
boosting RMSE 224 : 0.1595685 

forest 224 : -0.3744017 
forest mean 224 : -0.3604359 
forest RMSE 224 : 0.06255945 

nnet 224 : -0.2706095 
nnet mean 224 : -0.4171579 
nnet RMSE 224 : 0.1527946 


s: 225 
logit 225 : -0.4539042 
logit mean 225 : -0.3997877 
logit RMSE 225 : 0.06225807 

boosting 225 : -0.6176242 
boosting mean 225 : -0.4888742 
boosting RMSE 225 : 0.1598732 

forest 225 : -0.3933712 
forest mean 225 : -0.3605823 
forest RMSE 225 : 0.06242184 

nnet 225 : -0.5842932 
nnet mean 225 : -0.4179007 
nnet RMSE 225 : 0.1529489 


s: 226 
logit 226 : -0.4271237 
logit mean 226 : -0.3999086 
logit RMSE 226 : 0.06214637 

boosting 226 : -0.4848043 
boosting mean 226 : -0.4888562 
boosting RMSE 226 : 0.1596188 

forest 226 : -0.3318449 
forest mean 226 : -0.3604551 
forest RMSE 226 : 0.06244837 

nnet 226 : -0.4418427 
nnet mean 226 : -0.4180067 
nnet RMSE 226 : 0.1526356 


s: 227 
logit 227 : -0.4420133 
logit mean 227 : -0.4000941 
logit RMSE 227 : 0.062072 

boosting 227 : -0.5385737 
boosting mean 227 : -0.4890752 
boosting RMSE 227 : 0.1595322 

forest 227 : -0.4364975 
forest mean 227 : -0.3607901 
forest RMSE 227 : 0.06235773 

nnet 227 : -0.434916 
nnet mean 227 : -0.4180812 
nnet RMSE 227 : 0.1523166 


s: 228 
logit 228 : -0.3823937 
logit mean 228 : -0.4000165 
logit RMSE 228 : 0.0619467 

boosting 228 : -0.4327229 
boosting mean 228 : -0.4888281 
boosting RMSE 228 : 0.1591967 

forest 228 : -0.4046244 
forest mean 228 : -0.3609824 
forest RMSE 228 : 0.06222159 

nnet 228 : -0.1757541 
nnet mean 228 : -0.4170183 
nnet RMSE 228 : 0.1527061 


s: 229 
logit 229 : -0.4094627 
logit mean 229 : -0.4000577 
logit RMSE 229 : 0.06181447 

boosting 229 : -0.3895741 
boosting mean 229 : -0.4883946 
boosting RMSE 229 : 0.1588502 

forest 229 : -0.367599 
forest mean 229 : -0.3610113 
forest RMSE 229 : 0.06212249 

nnet 229 : -0.2719493 
nnet mean 229 : -0.4163848 
nnet RMSE 229 : 0.1526071 


s: 230 
logit 230 : -0.4114607 
logit mean 230 : -0.4001073 
logit RMSE 230 : 0.06168457 

boosting 230 : -0.5703514 
boosting mean 230 : -0.488751 
boosting RMSE 230 : 0.1589021 

forest 230 : -0.3294859 
forest mean 230 : -0.3608742 
forest RMSE 230 : 0.06216143 

nnet 230 : -0.3714561 
nnet mean 230 : -0.4161895 
nnet RMSE 230 : 0.1522866 


s: 231 
logit 231 : -0.3912104 
logit mean 231 : -0.4000688 
logit RMSE 231 : 0.06155363 

boosting 231 : -0.5226883 
boosting mean 231 : -0.4888979 
boosting RMSE 231 : 0.1587631 

forest 231 : -0.3285716 
forest mean 231 : -0.3607344 
forest RMSE 231 : 0.06220452 

nnet 231 : -0.3384799 
nnet mean 231 : -0.4158531 
nnet RMSE 231 : 0.1520105 


s: 232 
logit 232 : -0.3766576 
logit mean 232 : -0.3999679 
logit RMSE 232 : 0.06143994 

boosting 232 : -0.5622611 
boosting mean 232 : -0.4892141 
boosting RMSE 232 : 0.1587783 

forest 232 : -0.3279887 
forest mean 232 : -0.3605932 
forest RMSE 232 : 0.06225011 

nnet 232 : -0.5612344 
nnet mean 232 : -0.4164797 
nnet RMSE 232 : 0.1520515 


s: 233 
logit 233 : -0.3578656 
logit mean 233 : -0.3997872 
logit RMSE 233 : 0.06137006 

boosting 233 : -0.4822029 
boosting mean 233 : -0.489184 
boosting RMSE 233 : 0.1585287 

forest 233 : -0.4146176 
forest mean 233 : -0.3608251 
forest RMSE 233 : 0.06212376 

nnet 233 : -0.4649941 
nnet mean 233 : -0.4166879 
nnet RMSE 233 : 0.1517846 


s: 234 
logit 234 : -0.5244081 
logit mean 234 : -0.4003197 
logit RMSE 234 : 0.06177647 

boosting 234 : -0.416193 
boosting mean 234 : -0.4888721 
boosting RMSE 234 : 0.1581932 

forest 234 : -0.385523 
forest mean 234 : -0.3609306 
forest RMSE 234 : 0.0619981 

nnet 234 : -0.4359985 
nnet mean 234 : -0.4167705 
nnet RMSE 234 : 0.1514782 


s: 235 
logit 235 : -0.4952764 
logit mean 235 : -0.4007238 
logit RMSE 235 : 0.0619574 

boosting 235 : -0.4052089 
boosting mean 235 : -0.4885161 
boosting RMSE 235 : 0.1578566 

forest 235 : -0.4019102 
forest mean 235 : -0.361105 
forest RMSE 235 : 0.06186618 

nnet 235 : -0.4435874 
nnet mean 235 : -0.4168846 
nnet RMSE 235 : 0.1511823 


s: 236 
logit 236 : -0.4845523 
logit mean 236 : -0.401079 
logit RMSE 236 : 0.0620705 

boosting 236 : -0.4049926 
boosting mean 236 : -0.4881622 
boosting RMSE 236 : 0.1575221 

forest 236 : -0.3643568 
forest mean 236 : -0.3611188 
forest RMSE 236 : 0.06177855 

nnet 236 : -0.467445 
nnet mean 236 : -0.4170988 
nnet RMSE 236 : 0.1509255 


s: 237 
logit 237 : -0.3695026 
logit mean 237 : -0.4009458 
logit RMSE 237 : 0.06197108 

boosting 237 : -0.5120696 
boosting mean 237 : -0.488263 
boosting RMSE 237 : 0.1573579 

forest 237 : -0.3531862 
forest mean 237 : -0.3610853 
forest RMSE 237 : 0.06172303 

nnet 237 : -0.3923927 
nnet mean 237 : -0.4169946 
nnet RMSE 237 : 0.1506076 


s: 238 
logit 238 : -0.38666 
logit mean 238 : -0.4008858 
logit RMSE 238 : 0.0618468 

boosting 238 : -0.3679538 
boosting mean 238 : -0.4877575 
boosting RMSE 238 : 0.1570407 

forest 238 : -0.3130923 
forest mean 238 : -0.3608837 
forest RMSE 238 : 0.0618503 

nnet 238 : -0.3825965 
nnet mean 238 : -0.4168500 
nnet RMSE 238 : 0.1502951 


s: 239 
logit 239 : -0.3802663 
logit mean 239 : -0.4007995 
logit RMSE 239 : 0.06173048 

boosting 239 : -0.6277597 
boosting mean 239 : -0.4883433 
boosting RMSE 239 : 0.1574028 

forest 239 : -0.3784308 
forest mean 239 : -0.3609571 
forest RMSE 239 : 0.06173654 

nnet 239 : -0.5712558 
nnet mean 239 : -0.4174961 
nnet RMSE 239 : 0.1503889 


s: 240 
logit 240 : -0.349909 
logit mean 240 : -0.4005874 
logit RMSE 240 : 0.06168654 

boosting 240 : -0.5458218 
boosting mean 240 : -0.4885828 
boosting RMSE 240 : 0.1573564 

forest 240 : -0.2942223 
forest mean 240 : -0.360679 
forest RMSE 240 : 0.061985 

nnet 240 : -0.6953414 
nnet mean 240 : -0.4186538 
nnet RMSE 240 : 0.1512812 


s: 241 
logit 241 : -0.404773 
logit mean 241 : -0.4006048 
logit RMSE 241 : 0.06155919 

boosting 241 : -0.2633952 
boosting mean 241 : -0.4876484 
boosting RMSE 241 : 0.1572759 

forest 241 : -0.343502 
forest mean 241 : -0.3606077 
forest RMSE 241 : 0.06196324 

nnet 241 : -0.4140134 
nnet mean 241 : -0.4186345 
nnet RMSE 241 : 0.1509698 


s: 242 
logit 242 : -0.3358379 
logit mean 242 : -0.4003372 
logit RMSE 242 : 0.06157017 

boosting 242 : -0.3465595 
boosting mean 242 : -0.4870654 
boosting RMSE 242 : 0.1569882 

forest 242 : -0.2925851 
forest mean 242 : -0.3603267 
forest RMSE 242 : 0.06221941 

nnet 242 : -0.4422889 
nnet mean 242 : -0.4187323 
nnet RMSE 242 : 0.1506820 


s: 243 
logit 243 : -0.41085 
logit mean 243 : -0.4003804 
logit RMSE 243 : 0.0614473 

boosting 243 : -0.5955185 
boosting mean 243 : -0.4875117 
boosting RMSE 243 : 0.1571661 

forest 243 : -0.4049173 
forest mean 243 : -0.3605102 
forest RMSE 243 : 0.06209205 

nnet 243 : -0.7300436 
nnet mean 243 : -0.4200134 
nnet RMSE 243 : 0.1518549 


s: 244 
logit 244 : -0.4081282 
logit mean 244 : -0.4004122 
logit RMSE 244 : 0.06132346 

boosting 244 : -0.4944804 
boosting mean 244 : -0.4875403 
boosting RMSE 244 : 0.1569603 

forest 244 : -0.2715007 
forest mean 244 : -0.3601454 
forest RMSE 244 : 0.06250836 

nnet 244 : -0.4496530 
nnet mean 244 : -0.4201349 
nnet RMSE 244 : 0.1515767 


s: 245 
logit 245 : -0.2891335 
logit mean 245 : -0.399958 
logit RMSE 245 : 0.0616067 

boosting 245 : -0.4841727 
boosting mean 245 : -0.4875265 
boosting RMSE 245 : 0.1567320 

forest 245 : -0.3699933 
forest mean 245 : -0.3601856 
forest RMSE 245 : 0.06241011 

nnet 245 : -0.4173645 
nnet mean 245 : -0.4201236 
nnet RMSE 245 : 0.1512711 


s: 246 
logit 246 : -0.3491826 
logit mean 246 : -0.3997516 
logit RMSE 246 : 0.06156667 

boosting 246 : -0.4466526 
boosting mean 246 : -0.4873604 
boosting RMSE 246 : 0.1564413 

forest 246 : -0.371789 
forest mean 246 : -0.3602327 
forest RMSE 246 : 0.0623091 

nnet 246 : -0.4362558 
nnet mean 246 : -0.4201891 
nnet RMSE 246 : 0.1509811 


s: 247 
logit 247 : -0.3846031 
logit mean 247 : -0.3996903 
logit RMSE 247 : 0.06144973 

boosting 247 : -0.4056446 
boosting mean 247 : -0.4870295 
boosting RMSE 247 : 0.1561248 

forest 247 : -0.3614244 
forest mean 247 : -0.3602376 
forest RMSE 247 : 0.06223126 

nnet 247 : -0.2887752 
nnet mean 247 : -0.4196571 
nnet RMSE 247 : 0.1508412 


s: 248 
logit 248 : -0.4417871 
logit mean 248 : -0.39986 
logit RMSE 248 : 0.06138309 

boosting 248 : -0.4823338 
boosting mean 248 : -0.4870106 
boosting RMSE 248 : 0.1558974 

forest 248 : -0.3456772 
forest mean 248 : -0.3601788 
forest RMSE 248 : 0.06220139 

nnet 248 : -0.3650427 
nnet mean 248 : -0.4194369 
nnet RMSE 248 : 0.1505532 


s: 249 
logit 249 : -0.346362 
logit mean 249 : -0.3996452 
logit RMSE 249 : 0.06135394 

boosting 249 : -0.3563879 
boosting mean 249 : -0.486486 
boosting RMSE 249 : 0.1556085 

forest 249 : -0.3412627 
forest mean 249 : -0.3601029 
forest RMSE 249 : 0.06218786 

nnet 249 : -0.3911962 
nnet mean 249 : -0.4193235 
nnet RMSE 249 : 0.1502516 


s: 250 
logit 250 : -0.3261968 
logit mean 250 : -0.3993514 
logit RMSE 250 : 0.06140877 

boosting 250 : -0.3071395 
boosting mean 250 : -0.4857686 
boosting RMSE 250 : 0.1554080 

forest 250 : -0.3807237 
forest mean 250 : -0.3601854 
forest RMSE 250 : 0.06207534 

nnet 250 : -0.4873254 
nnet mean 250 : -0.4195955 
nnet RMSE 250 : 0.1500525 


s: 251 
logit 251 : -0.3275136 
logit mean 251 : -0.3990652 
logit RMSE 251 : 0.06145686 

boosting 251 : -0.6683253 
boosting mean 251 : -0.486496 
boosting RMSE 251 : 0.1560201 

forest 251 : -0.3648272 
forest mean 251 : -0.3602039 
forest RMSE 251 : 0.06199132 

nnet 251 : -0.4545844 
nnet mean 251 : -0.4197349 
nnet RMSE 251 : 0.1497929 


s: 252 
logit 252 : -0.4452449 
logit mean 252 : -0.3992484 
logit RMSE 252 : 0.06140099 

boosting 252 : -0.604418 
boosting mean 252 : -0.4869639 
boosting RMSE 252 : 0.1562418 

forest 252 : -0.3039031 
forest mean 252 : -0.3599804 
forest RMSE 252 : 0.06216365 

nnet 252 : -0.1835962 
nnet mean 252 : -0.4187978 
nnet RMSE 252 : 0.1501156 


s: 253 
logit 253 : -0.3632152 
logit mean 253 : -0.399106 
logit RMSE 253 : 0.06132315 

boosting 253 : -0.5050061 
boosting mean 253 : -0.4870352 
boosting RMSE 253 : 0.1560724 

forest 253 : -0.3302812 
forest mean 253 : -0.3598630 
forest RMSE 253 : 0.06219532 

nnet 253 : -0.423733 
nnet mean 253 : -0.4188173 
nnet RMSE 253 : 0.1498261 


s: 254 
logit 254 : -0.4168189 
logit mean 254 : -0.3991757 
logit RMSE 254 : 0.06121141 

boosting 254 : -0.4584496 
boosting mean 254 : -0.4869227 
boosting RMSE 254 : 0.1558081 

forest 254 : -0.4097131 
forest mean 254 : -0.3600593 
forest RMSE 254 : 0.06207576 

nnet 254 : -0.4026638 
nnet mean 254 : -0.4187537 
nnet RMSE 254 : 0.1495310 


s: 255 
logit 255 : -0.4666065 
logit mean 255 : -0.3994402 
logit RMSE 255 : 0.0612335 

boosting 255 : -0.6311168 
boosting mean 255 : -0.4874881 
boosting RMSE 255 : 0.1561743 

forest 255 : -0.3369432 
forest mean 255 : -0.3599687 
forest RMSE 255 : 0.06207964 

nnet 255 : -0.524146 
nnet mean 255 : -0.419167 
nnet RMSE 255 : 0.1494398 


s: 256 
logit 256 : -0.3971112 
logit mean 256 : -0.3994311 
logit RMSE 256 : 0.06111405 

boosting 256 : -0.6108681 
boosting mean 256 : -0.4879701 
boosting RMSE 256 : 0.1564252 

forest 256 : -0.3424043 
forest mean 256 : -0.3599000 
forest RMSE 256 : 0.06206275 

nnet 256 : -0.5223232 
nnet mean 256 : -0.41957 
nnet RMSE 256 : 0.1493435 


s: 257 
logit 257 : -0.4334764 
logit mean 257 : -0.3995635 
logit RMSE 257 : 0.06103077 

boosting 257 : -0.6731476 
boosting mean 257 : -0.4886906 
boosting RMSE 257 : 0.1570476 

forest 257 : -0.4136082 
forest mean 257 : -0.360109 
forest RMSE 257 : 0.06194771 

nnet 257 : -0.9522713 
nnet mean 257 : -0.4216427 
nnet RMSE 257 : 0.1529820 


s: 258 
logit 258 : -0.4202811 
logit mean 258 : -0.3996438 
logit RMSE 258 : 0.06092546 

boosting 258 : -0.6992994 
boosting mean 258 : -0.4895069 
boosting RMSE 258 : 0.1578466 

forest 258 : -0.4193262 
forest mean 258 : -0.3603386 
forest RMSE 258 : 0.06183924 

nnet 258 : -0.5016468 
nnet mean 258 : -0.4219528 
nnet RMSE 258 : 0.1528163 


s: 259 
logit 259 : -0.3417131 
logit mean 259 : -0.3994202 
logit RMSE 259 : 0.0609155 

boosting 259 : -0.439566 
boosting mean 259 : -0.4893141 
boosting RMSE 259 : 0.1575608 

forest 259 : -0.3754716 
forest mean 259 : -0.360397 
forest RMSE 259 : 0.06173856 

nnet 259 : -0.4345977 
nnet mean 259 : -0.4220017 
nnet RMSE 259 : 0.1525361 


s: 260 
logit 260 : -0.4223191 
logit mean 260 : -0.3995082 
logit RMSE 260 : 0.06081399 

boosting 260 : -0.4678248 
boosting mean 260 : -0.4892315 
boosting RMSE 260 : 0.1573137 

forest 260 : -0.476704 
forest mean 260 : -0.3608443 
forest RMSE 260 : 0.06180306 

nnet 260 : -0.3429702 
nnet mean 260 : -0.4216977 
nnet RMSE 260 : 0.1522836 


s: 261 
logit 261 : -0.3463127 
logit mean 261 : -0.3993044 
logit RMSE 261 : 0.06078828 

boosting 261 : -0.4888272 
boosting mean 261 : -0.4892299 
boosting RMSE 261 : 0.1571083 

forest 261 : -0.3181223 
forest mean 261 : -0.3606806 
forest RMSE 261 : 0.0618924 

nnet 261 : -0.22226 
nnet mean 261 : -0.4209336 
nnet RMSE 261 : 0.1523892 


s: 262 
logit 262 : -0.4060486 
logit mean 262 : -0.3993302 
logit RMSE 262 : 0.06067331 

boosting 262 : -0.4653555 
boosting mean 262 : -0.4891388 
boosting RMSE 262 : 0.1568602 

forest 262 : -0.3264736 
forest mean 262 : -0.3605501 
forest RMSE 262 : 0.06194096 

nnet 262 : -0.370166 
nnet mean 262 : -0.4207398 
nnet RMSE 262 : 0.1521093 


s: 263 
logit 263 : -0.4179207 
logit mean 263 : -0.3994009 
logit RMSE 263 : 0.06056794 

boosting 263 : -0.7368917 
boosting mean 263 : -0.4900808 
boosting RMSE 263 : 0.1579338 

forest 263 : -0.4222271 
forest mean 263 : -0.3607846 
forest RMSE 263 : 0.06183828 

nnet 263 : -0.5385846 
nnet mean 263 : -0.4211879 
nnet RMSE 263 : 0.1520602 


s: 264 
logit 264 : -0.3166909 
logit mean 264 : -0.3990876 
logit RMSE 264 : 0.06067016 

boosting 264 : -0.4002172 
boosting mean 264 : -0.4897404 
boosting RMSE 264 : 0.1576344 

forest 264 : -0.3626362 
forest mean 264 : -0.3607916 
forest RMSE 264 : 0.06176388 

nnet 264 : -0.3966681 
nnet mean 264 : -0.421095 
nnet RMSE 264 : 0.1517720 


s: 265 
logit 265 : -0.3798408 
logit mean 265 : -0.3990149 
logit RMSE 265 : 0.06056824 

boosting 265 : -0.4568431 
boosting mean 265 : -0.4896163 
boosting RMSE 265 : 0.1573755 

forest 265 : -0.3873596 
forest mean 265 : -0.3608919 
forest RMSE 265 : 0.06165212 

nnet 265 : -0.4148211 
nnet mean 265 : -0.4210713 
nnet RMSE 265 : 0.1514881 


s: 266 
logit 266 : -0.4961084 
logit mean 266 : -0.3993799 
logit RMSE 266 : 0.06074081 

boosting 266 : -0.4432998 
boosting mean 266 : -0.4894422 
boosting RMSE 266 : 0.1571018 

forest 266 : -0.4040547 
forest mean 266 : -0.3610541 
forest RMSE 266 : 0.06153663 

nnet 266 : -0.3205701 
nnet mean 266 : -0.4206935 
nnet RMSE 266 : 0.1512815 


s: 267 
logit 267 : -0.4932217 
logit mean 267 : -0.3997314 
logit RMSE 267 : 0.06089479 

boosting 267 : -0.7148078 
boosting mean 267 : -0.4902862 
boosting RMSE 267 : 0.1579865 

forest 267 : -0.4604072 
forest mean 267 : -0.3614262 
forest RMSE 267 : 0.06153244 

nnet 267 : -0.638526 
nnet mean 267 : -0.4215093 
nnet RMSE 267 : 0.1517019 


s: 268 
logit 268 : -0.357057 
logit mean 268 : -0.3995722 
logit RMSE 268 : 0.06083765 

boosting 268 : -0.4232458 
boosting mean 268 : -0.4900361 
boosting RMSE 268 : 0.1576978 

forest 268 : -0.392841 
forest mean 268 : -0.3615434 
forest RMSE 268 : 0.06141909 

nnet 268 : -0.4741575 
nnet mean 268 : -0.4217058 
nnet RMSE 268 : 0.1514864 


s: 269 
logit 269 : -0.5529323 
logit mean 269 : -0.4001423 
logit RMSE 269 : 0.06143619 

boosting 269 : -0.7625379 
boosting mean 269 : -0.4910491 
boosting RMSE 269 : 0.1589489 

forest 269 : -0.3749238 
forest mean 269 : -0.3615932 
forest RMSE 269 : 0.06132388 

nnet 269 : -0.5576054 
nnet mean 269 : -0.422211 
nnet RMSE 269 : 0.1515096 


s: 270 
logit 270 : -0.3646748 
logit mean 270 : -0.4000109 
logit RMSE 270 : 0.06135999 

boosting 270 : -0.400953 
boosting mean 270 : -0.4907154 
boosting RMSE 270 : 0.1586543 

forest 270 : -0.3331911 
forest mean 270 : -0.361488 
forest RMSE 270 : 0.0613451 

nnet 270 : -0.3709426 
nnet mean 270 : -0.4220211 
nnet RMSE 270 : 0.1512391 


s: 271 
logit 271 : -0.4204076 
logit mean 271 : -0.4000862 
logit RMSE 271 : 0.06125922 

boosting 271 : -0.5524524 
boosting mean 271 : -0.4909432 
boosting RMSE 271 : 0.1586319 

forest 271 : -0.4706401 
forest mean 271 : -0.3618908 
forest RMSE 271 : 0.06138199 

nnet 271 : -0.6628324 
nnet mean 271 : -0.4229097 
nnet RMSE 271 : 0.1518017 


s: 272 
logit 272 : -0.4224071 
logit mean 272 : -0.4001683 
logit RMSE 272 : 0.0611616 

boosting 272 : -0.5853138 
boosting mean 272 : -0.4912902 
boosting RMSE 272 : 0.1587382 

forest 272 : -0.2454264 
forest mean 272 : -0.3614626 
forest RMSE 272 : 0.06198176 

nnet 272 : -0.5113723 
nnet mean 272 : -0.4232349 
nnet RMSE 272 : 0.1516728 


s: 273 
logit 273 : -0.3204868 
logit mean 273 : -0.3998764 
logit RMSE 273 : 0.06123886 

boosting 273 : -0.4875165 
boosting mean 273 : -0.4912763 
boosting RMSE 273 : 0.1585357 

forest 273 : -0.4716127 
forest mean 273 : -0.3618661 
forest RMSE 273 : 0.06201977 

nnet 273 : -0.3250543 
nnet mean 273 : -0.4228753 
nnet RMSE 273 : 0.1514627 


s: 274 
logit 274 : -0.4277145 
logit mean 274 : -0.399978 
logit RMSE 274 : 0.06114993 

boosting 274 : -0.4282225 
boosting mean 274 : -0.4910462 
boosting RMSE 274 : 0.1582553 

forest 274 : -0.3987631 
forest mean 274 : -0.3620007 
forest RMSE 274 : 0.06190653 

nnet 274 : -0.1953729 
nnet mean 274 : -0.422045 
nnet RMSE 274 : 0.1516906 


s: 275 
logit 275 : -0.4356843 
logit mean 275 : -0.4001078 
logit RMSE 275 : 0.06107657 

boosting 275 : -0.5957657 
boosting mean 275 : -0.491427 
boosting RMSE 275 : 0.1584078 

forest 275 : -0.3555981 
forest mean 275 : -0.3619774 
forest RMSE 275 : 0.06185185 

nnet 275 : -0.6721979 
nnet mean 275 : -0.4229547 
nnet RMSE 275 : 0.1523017 


s: 276 
logit 276 : -0.4204566 
logit mean 276 : -0.4001815 
logit RMSE 276 : 0.06097825 

boosting 276 : -0.383695 
boosting mean 276 : -0.4910367 
boosting RMSE 276 : 0.1581236 

forest 276 : -0.4006189 
forest mean 276 : -0.3621175 
forest RMSE 276 : 0.06173971 

nnet 276 : -0.5043741 
nnet mean 276 : -0.4232497 
nnet RMSE 276 : 0.1521553 


s: 277 
logit 277 : -0.4159109 
logit mean 277 : -0.4002383 
logit RMSE 277 : 0.06087559 

boosting 277 : -0.6077024 
boosting mean 277 : -0.4914579 
boosting RMSE 277 : 0.1583305 

forest 277 : -0.2937433 
forest mean 277 : -0.3618706 
forest RMSE 277 : 0.06195798 

nnet 277 : -0.4720104 
nnet mean 277 : -0.4234257 
nnet RMSE 277 : 0.151942 


s: 278 
logit 278 : -0.5009615 
logit mean 278 : -0.4006006 
logit RMSE 278 : 0.06106696 

boosting 278 : -0.533738 
boosting mean 278 : -0.4916099 
boosting RMSE 278 : 0.1582489 

forest 278 : -0.4295158 
forest mean 278 : -0.3621139 
forest RMSE 278 : 0.06187177 

nnet 278 : -0.3849408 
nnet mean 278 : -0.4232872 
nnet RMSE 278 : 0.1516712 


s: 279 
logit 279 : -0.3698059 
logit mean 279 : -0.4004903 
logit RMSE 279 : 0.06098422 

boosting 279 : -0.3803105 
boosting mean 279 : -0.491211 
boosting RMSE 279 : 0.1579694 

forest 279 : -0.3209952 
forest mean 279 : -0.3619666 
forest RMSE 279 : 0.06194164 

nnet 279 : -0.4386248 
nnet mean 279 : -0.4233422 
nnet RMSE 279 : 0.1514168 


s: 280 
logit 280 : -0.3794794 
logit mean 280 : -0.4004152 
logit RMSE 280 : 0.06088757 

boosting 280 : -0.2989571 
boosting mean 280 : -0.4905244 
boosting RMSE 280 : 0.1578027 

forest 280 : -0.3478693 
forest mean 280 : -0.3619162 
forest RMSE 280 : 0.06190937 

nnet 280 : -0.2828862 
nnet mean 280 : -0.4228406 
nnet RMSE 280 : 0.1513081 


s: 281 
logit 281 : -0.3243598 
logit mean 281 : -0.4001446 
logit RMSE 281 : 0.0609464 

boosting 281 : -0.5163721 
boosting mean 281 : -0.4906164 
boosting RMSE 281 : 0.1576745 

forest 281 : -0.3662738 
forest mean 281 : -0.3619317 
forest RMSE 281 : 0.06183186 

nnet 281 : -0.4121084 
nnet mean 281 : -0.4228024 
nnet RMSE 281 : 0.1510404 


s: 282 
logit 282 : -0.3462224 
logit mean 282 : -0.3999534 
logit RMSE 282 : 0.06092247 

boosting 282 : -0.4998746 
boosting mean 282 : -0.4906492 
boosting RMSE 282 : 0.1575071 

forest 282 : -0.2759052 
forest mean 282 : -0.3616267 
forest RMSE 282 : 0.06216293 

nnet 282 : -0.5986758 
nnet mean 282 : -0.4234261 
nnet RMSE 282 : 0.1512358 


s: 283 
logit 283 : -0.4164414 
logit mean 283 : -0.4000116 
logit RMSE 283 : 0.0608226 

boosting 283 : -0.2685104 
boosting mean 283 : -0.4898643 
boosting RMSE 283 : 0.1574227 

forest 283 : -0.3132464 
forest mean 283 : -0.3614557 
forest RMSE 283 : 0.06226692 

nnet 283 : -0.6185632 
nnet mean 283 : -0.4241156 
nnet RMSE 283 : 0.1515264 


s: 284 
logit 284 : -0.4305330 
logit mean 284 : -0.4001191 
logit RMSE 284 : 0.06074245 

boosting 284 : -0.4808192 
boosting mean 284 : -0.4898324 
boosting RMSE 284 : 0.1572185 

forest 284 : -0.3720363 
forest mean 284 : -0.361493 
forest RMSE 284 : 0.06217934 

nnet 284 : -0.5655762 
nnet mean 284 : -0.4246137 
nnet RMSE 284 : 0.1515781 


s: 285 
logit 285 : -0.4527208 
logit mean 285 : -0.4003037 
logit RMSE 285 : 0.06071615 

boosting 285 : -0.635167 
boosting mean 285 : -0.4903424 
boosting RMSE 285 : 0.1575594 

forest 285 : -0.3551487 
forest mean 285 : -0.3614707 
forest RMSE 285 : 0.06212699 

nnet 285 : -0.2221517 
nnet mean 285 : -0.4239033 
nnet RMSE 285 : 0.1516783 


s: 286 
logit 286 : -0.3258598 
logit mean 286 : -0.4000434 
logit RMSE 286 : 0.06076826 

boosting 286 : -0.5044673 
boosting mean 286 : -0.4903918 
boosting RMSE 286 : 0.1574050 

forest 286 : -0.3308736 
forest mean 286 : -0.3613637 
forest RMSE 286 : 0.06215284 

nnet 286 : -0.235961 
nnet mean 286 : -0.4232462 
nnet RMSE 286 : 0.1517232 


s: 287 
logit 287 : -0.4538066 
logit mean 287 : -0.4002307 
logit RMSE 287 : 0.06074538 

boosting 287 : -0.3835416 
boosting mean 287 : -0.4900195 
boosting RMSE 287 : 0.1571335 

forest 287 : -0.3444841 
forest mean 287 : -0.3613049 
forest RMSE 287 : 0.06213094 

nnet 287 : -0.2642408 
nnet mean 287 : -0.4226921 
nnet RMSE 287 : 0.1516705 


s: 288 
logit 288 : -0.3959414 
logit mean 288 : -0.4002158 
logit RMSE 288 : 0.0606403 

boosting 288 : -0.4375821 
boosting mean 288 : -0.4898374 
boosting RMSE 288 : 0.1568761 

forest 288 : -0.398699 
forest mean 288 : -0.3614347 
forest RMSE 288 : 0.06202303 

nnet 288 : -0.5870834 
nnet mean 288 : -0.4232629 
nnet RMSE 288 : 0.1518078 


s: 289 
logit 289 : -0.435073 
logit mean 289 : -0.4003364 
logit RMSE 289 : 0.06057045 

boosting 289 : -0.5430956 
boosting mean 289 : -0.4900217 
boosting RMSE 289 : 0.1568305 

forest 289 : -0.3735978 
forest mean 289 : -0.3614768 
forest RMSE 289 : 0.06193511 

nnet 289 : -0.3554345 
nnet mean 289 : -0.4230282 
nnet RMSE 289 : 0.1515676 


s: 290 
logit 290 : -0.4070286 
logit mean 290 : -0.4003595 
logit RMSE 290 : 0.06046733 

boosting 290 : -0.6284826 
boosting mean 290 : -0.4904991 
boosting RMSE 290 : 0.1571337 

forest 290 : -0.3000873 
forest mean 290 : -0.3612651 
forest RMSE 290 : 0.06210598 

nnet 290 : -0.3831011 
nnet mean 290 : -0.4228906 
nnet RMSE 290 : 0.1513093 


s: 291 
logit 291 : -0.3836847 
logit mean 291 : -0.4003022 
logit RMSE 291 : 0.06037092 

boosting 291 : -0.69399 
boosting mean 291 : -0.4911984 
boosting RMSE 291 : 0.1578074 

forest 291 : -0.3369007 
forest mean 291 : -0.3611814 
forest RMSE 291 : 0.06210942 

nnet 291 : -0.370387 
nnet mean 291 : -0.4227101 
nnet RMSE 291 : 0.1510591 


s: 292 
logit 292 : -0.4720157 
logit mean 292 : -0.4005478 
logit RMSE 292 : 0.06041463 

boosting 292 : -0.5099494 
boosting mean 292 : -0.4912626 
boosting RMSE 292 : 0.1576683 

forest 292 : -0.3565303 
forest mean 292 : -0.3611655 
forest RMSE 292 : 0.06205514 

nnet 292 : -0.4043331 
nnet mean 292 : -0.4226472 
nnet RMSE 292 : 0.1508004 


s: 293 
logit 293 : -0.4674102 
logit mean 293 : -0.400776 
logit RMSE 293 : 0.06043989 

boosting 293 : -0.53414 
boosting mean 293 : -0.491409 
boosting RMSE 293 : 0.1575939 

forest 293 : -0.3471468 
forest mean 293 : -0.3611176 
forest RMSE 293 : 0.06202606 

nnet 293 : -0.2193064 
nnet mean 293 : -0.4219532 
nnet RMSE 293 : 0.1509125 


s: 294 
logit 294 : -0.3869308 
logit mean 294 : -0.4007289 
logit RMSE 294 : 0.06034182 

boosting 294 : -0.4595046 
boosting mean 294 : -0.4913004 
boosting RMSE 294 : 0.1573640 

forest 294 : -0.4225895 
forest mean 294 : -0.3613267 
forest RMSE 294 : 0.06193449 

nnet 294 : -0.4669907 
nnet mean 294 : -0.4221064 
nnet RMSE 294 : 0.1507063 


s: 295 
logit 295 : -0.4048381 
logit mean 295 : -0.4007428 
logit RMSE 295 : 0.06024012 

boosting 295 : -0.3936001 
boosting mean 295 : -0.4909693 
boosting RMSE 295 : 0.1570975 

forest 295 : -0.3027865 
forest mean 295 : -0.3611283 
forest RMSE 295 : 0.06208795 

nnet 295 : -0.584237 
nnet mean 295 : -0.422656 
nnet RMSE 295 : 0.1508325 


s: 296 
logit 296 : -0.4720635 
logit mean 296 : -0.4009838 
logit RMSE 296 : 0.06028397 

boosting 296 : -0.4704142 
boosting mean 296 : -0.4908998 
boosting RMSE 296 : 0.1568853 

forest 296 : -0.2197185 
forest mean 296 : -0.3606506 
forest RMSE 296 : 0.06286249 

nnet 296 : -0.3333562 
nnet mean 296 : -0.4223543 
nnet RMSE 296 : 0.1506273 


s: 297 
logit 297 : -0.4459919 
logit mean 297 : -0.4011353 
logit RMSE 297 : 0.06024154 

boosting 297 : -0.6496124 
boosting mean 297 : -0.4914342 
boosting RMSE 297 : 0.1572892 

forest 297 : -0.3081930 
forest mean 297 : -0.3604739 
forest RMSE 297 : 0.06298227 

nnet 297 : -0.4575074 
nnet mean 297 : -0.4224727 
nnet RMSE 297 : 0.1504106 


s: 298 
logit 298 : -0.4452357 
logit mean 298 : -0.4012833 
logit RMSE 298 : 0.06019744 

boosting 298 : -0.6934957 
boosting mean 298 : -0.4921123 
boosting RMSE 298 : 0.1579428 

forest 298 : -0.4818299 
forest mean 298 : -0.3608812 
forest RMSE 298 : 0.06305494 

nnet 298 : -0.5343109 
nnet mean 298 : -0.4228480 
nnet RMSE 298 : 0.1503594 


s: 299 
logit 299 : -0.3937171 
logit mean 299 : -0.401258 
logit RMSE 299 : 0.06009779 

boosting 299 : -0.6799804 
boosting mean 299 : -0.4927406 
boosting RMSE 299 : 0.1585077 

forest 299 : -0.3885433 
forest mean 299 : -0.3609737 
forest RMSE 299 : 0.06295289 

nnet 299 : -0.2669426 
nnet mean 299 : -0.4223265 
nnet RMSE 299 : 0.1503049 


s: 300 
logit 300 : -0.4826944 
logit mean 300 : -0.4015294 
logit RMSE 300 : 0.0601872 

boosting 300 : -0.5495314 
boosting mean 300 : -0.4929299 
boosting RMSE 300 : 0.1584786 

forest 300 : -0.3579047 
forest mean 300 : -0.3609635 
forest RMSE 300 : 0.06289486 

nnet 300 : -0.4188364 
nnet mean 300 : -0.4223149 
nnet RMSE 300 : 0.1500581 


s: 301 
logit 301 : -0.3530918 
logit mean 301 : -0.4013685 
logit RMSE 301 : 0.06014794 

boosting 301 : -0.4402974 
boosting mean 301 : -0.492755 
boosting RMSE 301 : 0.1582322 

forest 301 : -0.3651617 
forest mean 301 : -0.3609774 
forest RMSE 301 : 0.0628224 

nnet 301 : -0.2904933 
nnet mean 301 : -0.4218770 
nnet RMSE 301 : 0.1499415 


s: 302 
logit 302 : -0.4114228 
logit mean 302 : -0.4014018 
logit RMSE 302 : 0.06005187 

boosting 302 : -0.4415289 
boosting mean 302 : -0.4925854 
boosting RMSE 302 : 0.1579881 

forest 302 : -0.2592085 
forest mean 302 : -0.3606404 
forest RMSE 302 : 0.0632394 

nnet 302 : -0.2397519 
nnet mean 302 : -0.4212739 
nnet RMSE 302 : 0.1499768 


s: 303 
logit 303 : -0.3761042 
logit mean 303 : -0.4013183 
logit RMSE 303 : 0.05996841 

boosting 303 : -0.4287733 
boosting mean 303 : -0.4923748 
boosting RMSE 303 : 0.1577358 

forest 303 : -0.4525681 
forest mean 303 : -0.3609438 
forest RMSE 303 : 0.06320714 

nnet 303 : -0.3833084 
nnet mean 303 : -0.4211486 
nnet RMSE 303 : 0.1497322 


s: 304 
logit 304 : -0.386053 
logit mean 304 : -0.4012681 
logit RMSE 304 : 0.05987504 

boosting 304 : -0.4715804 
boosting mean 304 : -0.4923064 
boosting RMSE 304 : 0.1575296 

forest 304 : -0.3621576 
forest mean 304 : -0.3609478 
forest RMSE 304 : 0.06314041 

nnet 304 : -0.3275721 
nnet mean 304 : -0.4208408 
nnet RMSE 304 : 0.1495434 


s: 305 
logit 305 : -0.3468363 
logit mean 305 : -0.4010896 
logit RMSE 305 : 0.05985426 

boosting 305 : -0.3840754 
boosting mean 305 : -0.4919515 
boosting RMSE 305 : 0.1572738 

forest 305 : -0.3379535 
forest mean 305 : -0.3608724 
forest RMSE 305 : 0.06313686 

nnet 305 : -0.3662359 
nnet mean 305 : -0.4206617 
nnet RMSE 305 : 0.1493106 


s: 306 
logit 306 : -0.4148720 
logit mean 306 : -0.4011347 
logit RMSE 306 : 0.05976243 

boosting 306 : -0.5466374 
boosting mean 306 : -0.4921303 
boosting RMSE 306 : 0.1572402 

forest 306 : -0.3803380 
forest mean 306 : -0.360936 
forest RMSE 306 : 0.06304363 

nnet 306 : -0.5643461 
nnet mean 306 : -0.4211313 
nnet RMSE 306 : 0.1493622 


s: 307 
logit 307 : -0.3439443 
logit mean 307 : -0.4009484 
logit RMSE 307 : 0.05975073 

boosting 307 : -0.3707781 
boosting mean 307 : -0.491735 
boosting RMSE 307 : 0.1569928 

forest 307 : -0.3764066 
forest mean 307 : -0.3609864 
forest RMSE 307 : 0.06295527 

nnet 307 : -0.593466 
nnet mean 307 : -0.4216927 
nnet RMSE 307 : 0.1495270 


s: 308 
logit 308 : -0.3471372 
logit mean 308 : -0.4007737 
logit RMSE 308 : 0.05972965 

boosting 308 : -0.7361122 
boosting mean 308 : -0.4925284 
boosting RMSE 308 : 0.1579035 

forest 308 : -0.3820315 
forest mean 308 : -0.3610547 
forest RMSE 308 : 0.06286133 

nnet 308 : -0.4348139 
nnet mean 308 : -0.4217353 
nnet RMSE 308 : 0.1492972 


s: 309 
logit 309 : -0.4198806 
logit mean 309 : -0.4008355 
logit RMSE 309 : 0.05964365 

boosting 309 : -0.5293306 
boosting mean 309 : -0.4926475 
boosting RMSE 309 : 0.1578194 

forest 309 : -0.3236983 
forest mean 309 : -0.3609339 
forest RMSE 309 : 0.06290945 

nnet 309 : -0.4732876 
nnet mean 309 : -0.4219021 
nnet RMSE 309 : 0.1491137 


s: 310 
logit 310 : -0.4608204 
logit mean 310 : -0.401029 
logit RMSE 310 : 0.05964748 

boosting 310 : -0.377101 
boosting mean 310 : -0.4922748 
boosting RMSE 310 : 0.1575700 

forest 310 : -0.3677327 
forest mean 310 : -0.3609558 
forest RMSE 310 : 0.06283464 

nnet 310 : -0.4670169 
nnet mean 310 : -0.4220476 
nnet RMSE 310 : 0.1489217 


s: 311 
logit 311 : -0.3440287 
logit mean 311 : -0.4008457 
logit RMSE 311 : 0.05963602 

boosting 311 : -0.6132373 
boosting mean 311 : -0.4926637 
boosting RMSE 311 : 0.1577804 

forest 311 : -0.3134453 
forest mean 311 : -0.360803 
forest RMSE 311 : 0.06292524 

nnet 311 : -0.3733361 
nnet mean 311 : -0.421891 
nnet RMSE 311 : 0.1486898 


s: 312 
logit 312 : -0.3700325 
logit mean 312 : -0.400747 
logit RMSE 312 : 0.05956454 

boosting 312 : -0.5564544 
boosting mean 312 : -0.4928682 
boosting RMSE 312 : 0.1577762 

forest 312 : -0.3852506 
forest mean 312 : -0.3608814 
forest RMSE 312 : 0.06282986 

nnet 312 : -0.5907475 
nnet mean 312 : -0.4224322 
nnet RMSE 312 : 0.1488435 


s: 313 
logit 313 : -0.3523431 
logit mean 313 : -0.4005923 
logit RMSE 313 : 0.05953029 

boosting 313 : -0.2764226 
boosting mean 313 : -0.4921767 
boosting RMSE 313 : 0.1576788 

forest 313 : -0.3490644 
forest mean 313 : -0.3608436 
forest RMSE 313 : 0.06279545 

nnet 313 : -0.5846041 
nnet mean 313 : -0.4229503 
nnet RMSE 313 : 0.1489715 


s: 314 
logit 314 : -0.4046436 
logit mean 314 : -0.4006052 
logit RMSE 314 : 0.059436 

boosting 314 : -0.5281109 
boosting mean 314 : -0.4922911 
boosting RMSE 314 : 0.1575934 

forest 314 : -0.3252137 
forest mean 314 : -0.3607301 
forest RMSE 314 : 0.06283727 

nnet 314 : -0.2486030 
nnet mean 314 : -0.4223951 
nnet RMSE 314 : 0.1489793 


s: 315 
logit 315 : -0.4261904 
logit mean 315 : -0.4006865 
logit RMSE 315 : 0.05935993 

boosting 315 : -0.8216742 
boosting mean 315 : -0.4933368 
boosting RMSE 315 : 0.1591267 

forest 315 : -0.3663689 
forest mean 315 : -0.3607480 
forest RMSE 315 : 0.06276606 

nnet 315 : -0.5072316 
nnet mean 315 : -0.4226644 
nnet RMSE 315 : 0.1488652 


s: 316 
logit 316 : -0.3244456 
logit mean 316 : -0.4004452 
logit RMSE 316 : 0.05941814 

boosting 316 : -0.550554 
boosting mean 316 : -0.4935178 
boosting RMSE 316 : 0.1591003 

forest 316 : -0.3391603 
forest mean 316 : -0.3606797 
forest RMSE 316 : 0.06276006 

nnet 316 : -0.4811774 
nnet mean 316 : -0.4228496 
nnet RMSE 316 : 0.1486997 


s: 317 
logit 317 : -0.4867148 
logit mean 317 : -0.4007173 
logit RMSE 317 : 0.05952393 

boosting 317 : -0.5430815 
boosting mean 317 : -0.4936742 
boosting RMSE 317 : 0.1590523 

forest 317 : -0.2970099 
forest mean 317 : -0.3604789 
forest RMSE 317 : 0.06292742 

nnet 317 : -0.3929107 
nnet mean 317 : -0.4227551 
nnet RMSE 317 : 0.1484655 


s: 318 
logit 318 : -0.4154497 
logit mean 318 : -0.4007637 
logit RMSE 318 : 0.05943658 

boosting 318 : -0.431315 
boosting mean 318 : -0.4934781 
boosting RMSE 318 : 0.1588117 

forest 318 : -0.3018384 
forest mean 318 : -0.3602945 
forest RMSE 318 : 0.06306908 

nnet 318 : -0.3307550 
nnet mean 318 : -0.4224658 
nnet RMSE 318 : 0.1482827 


s: 319 
logit 319 : -0.4123946 
logit mean 319 : -0.4008001 
logit RMSE 319 : 0.0593474 

boosting 319 : -0.4889262 
boosting mean 319 : -0.4934638 
boosting RMSE 319 : 0.1586408 

forest 319 : -0.3436338 
forest mean 319 : -0.3602423 
forest RMSE 319 : 0.06304918 

nnet 319 : -0.4118937 
nnet mean 319 : -0.4224327 
nnet RMSE 319 : 0.1480516 


s: 320 
logit 320 : -0.3815157 
logit mean 320 : -0.4007399 
logit RMSE 320 : 0.05926361 

boosting 320 : -0.580833 
boosting mean 320 : -0.4937368 
boosting RMSE 320 : 0.1587150 

forest 320 : -0.3382954 
forest mean 320 : -0.3601737 
forest RMSE 320 : 0.06304502 

nnet 320 : -0.5243797 
nnet mean 320 : -0.4227513 
nnet RMSE 320 : 0.1479835 


s: 321 
logit 321 : -0.2883981 
logit mean 321 : -0.4003899 
logit RMSE 321 : 0.05949819 

boosting 321 : -0.3602888 
boosting mean 321 : -0.4933211 
boosting RMSE 321 : 0.1584830 

forest 321 : -0.366889 
forest mean 321 : -0.3601946 
forest RMSE 321 : 0.06297387 

nnet 321 : -0.5184875 
nnet mean 321 : -0.4230495 
nnet RMSE 321 : 0.1479008 


s: 322 
logit 322 : -0.4911381 
logit mean 322 : -0.4006717 
logit RMSE 322 : 0.05962245 

boosting 322 : -0.3552564 
boosting mean 322 : -0.4928923 
boosting RMSE 322 : 0.1582564 

forest 322 : -0.4548825 
forest mean 322 : -0.3604886 
forest RMSE 322 : 0.06295035 

nnet 322 : -0.4446603 
nnet mean 322 : -0.4231166 
nnet RMSE 322 : 0.1476919 


s: 323 
logit 323 : -0.3928868 
logit mean 323 : -0.4006476 
logit RMSE 323 : 0.0595314 

boosting 323 : -0.5033039 
boosting mean 323 : -0.4929246 
boosting RMSE 323 : 0.1581158 

forest 323 : -0.426576 
forest mean 323 : -0.3606933 
forest RMSE 323 : 0.06287022 

nnet 323 : -0.3690654 
nnet mean 323 : -0.4229493 
nnet RMSE 323 : 0.1474731 


s: 324 
logit 324 : -0.3972447 
logit mean 324 : -0.4006371 
logit RMSE 324 : 0.05943966 

boosting 324 : -0.5401872 
boosting mean 324 : -0.4930704 
boosting RMSE 324 : 0.1580635 

forest 324 : -0.3662429 
forest mean 324 : -0.3607104 
forest RMSE 324 : 0.06280113 

nnet 324 : -0.465981 
nnet mean 324 : -0.4230821 
nnet RMSE 324 : 0.147291 


s: 325 
logit 325 : -0.4507971 
logit mean 325 : -0.4007914 
logit RMSE 325 : 0.05941499 

boosting 325 : -0.5536898 
boosting mean 325 : -0.493257 
boosting RMSE 325 : 0.1580503 

forest 325 : -0.3422825 
forest mean 325 : -0.3606537 
forest RMSE 325 : 0.06278612 

nnet 325 : -0.4095272 
nnet mean 325 : -0.4230404 
nnet RMSE 325 : 0.1470652 


s: 326 
logit 326 : -0.3301811 
logit mean 326 : -0.4005748 
logit RMSE 326 : 0.05944969 

boosting 326 : -0.489334 
boosting mean 326 : -0.4932449 
boosting RMSE 326 : 0.1578852 

forest 326 : -0.3646116 
forest mean 326 : -0.3606658 
forest RMSE 326 : 0.06272038 

nnet 326 : -0.5320627 
nnet mean 326 : -0.4233748 
nnet RMSE 326 : 0.1470215 


s: 327 
logit 327 : -0.3668127 
logit mean 327 : -0.4004716 
logit RMSE 327 : 0.05938708 

boosting 327 : -0.4787652 
boosting mean 327 : -0.4932007 
boosting RMSE 327 : 0.1577038 

forest 327 : -0.3028084 
forest mean 327 : -0.3604889 
forest RMSE 327 : 0.06285462 

nnet 327 : -0.1287513 
nnet mean 327 : -0.4224738 
nnet RMSE 327 : 0.1475609 


s: 328 
logit 328 : -0.4467143 
logit mean 328 : -0.4006126 
logit RMSE 328 : 0.05935256 

boosting 328 : -0.5746771 
boosting mean 328 : -0.4934491 
boosting RMSE 328 : 0.1577583 

forest 328 : -0.3388969 
forest mean 328 : -0.3604231 
forest RMSE 328 : 0.06284935 

nnet 328 : -0.6151095 
nnet mean 328 : -0.4230611 
nnet RMSE 328 : 0.1478138 


s: 329 
logit 329 : -0.4226908 
logit mean 329 : -0.4006797 
logit RMSE 329 : 0.05927549 

boosting 329 : -0.4235461 
boosting mean 329 : -0.4932366 
boosting RMSE 329 : 0.1575237 

forest 329 : -0.4418652 
forest mean 329 : -0.3606706 
forest RMSE 329 : 0.0627962 

nnet 329 : -0.5810199 
nnet mean 329 : -0.4235412 
nnet RMSE 329 : 0.1479260 


s: 330 
logit 330 : -0.3915255 
logit mean 330 : -0.4006520 
logit RMSE 330 : 0.05918745 

boosting 330 : -0.4721393 
boosting mean 330 : -0.4931727 
boosting RMSE 330 : 0.157335 

forest 330 : -0.4451668 
forest mean 330 : -0.3609267 
forest RMSE 330 : 0.06275026 

nnet 330 : -0.4458968 
nnet mean 330 : -0.423609 
nnet RMSE 330 : 0.1477233 


s: 331 
logit 331 : -0.468401 
logit mean 331 : -0.4008566 
logit RMSE 331 : 0.05921744 

boosting 331 : -0.7323405 
boosting mean 331 : -0.4938952 
boosting RMSE 331 : 0.1581556 

forest 331 : -0.4270080 
forest mean 331 : -0.3611263 
forest RMSE 331 : 0.06267298 

nnet 331 : -0.7188206 
nnet mean 331 : -0.4245009 
nnet RMSE 331 : 0.1485373 


s: 332 
logit 332 : -0.3705534 
logit mean 332 : -0.4007654 
logit RMSE 332 : 0.05915028 

boosting 332 : -0.3366959 
boosting mean 332 : -0.4934217 
boosting RMSE 332 : 0.1579555 

forest 332 : -0.3602972 
forest mean 332 : -0.3611238 
forest RMSE 332 : 0.06261645 

nnet 332 : -0.5704343 
nnet mean 332 : -0.4249404 
nnet RMSE 332 : 0.1486081 


s: 333 
logit 333 : -0.3931403 
logit mean 333 : -0.4007425 
logit RMSE 333 : 0.05906259 

boosting 333 : -0.5327103 
boosting mean 333 : -0.4935397 
boosting RMSE 333 : 0.1578857 

forest 333 : -0.4195 
forest mean 333 : -0.3612991 
forest RMSE 333 : 0.06253149 

nnet 333 : -0.6255564 
nnet mean 333 : -0.4255429 
nnet RMSE 333 : 0.1488987 


s: 334 
logit 334 : -0.4216633 
logit mean 334 : -0.4008051 
logit RMSE 334 : 0.05898602 

boosting 334 : -0.4358956 
boosting mean 334 : -0.4933671 
boosting RMSE 334 : 0.1576614 

forest 334 : -0.3610731 
forest mean 334 : -0.3612984 
forest RMSE 334 : 0.06247413 

nnet 334 : -0.3401913 
nnet mean 334 : -0.4252873 
nnet RMSE 334 : 0.1487117 


s: 335 
logit 335 : -0.4854902 
logit mean 335 : -0.4010579 
logit RMSE 335 : 0.05908283 

boosting 335 : -0.491767 
boosting mean 335 : -0.4933623 
boosting RMSE 335 : 0.1575057 

forest 335 : -0.2849740 
forest mean 335 : -0.3610706 
forest RMSE 335 : 0.06269658 

nnet 335 : -0.4224322 
nnet mean 335 : -0.4252788 
nnet RMSE 335 : 0.1484946 


s: 336 
logit 336 : -0.3864767 
logit mean 336 : -0.4010145 
logit RMSE 336 : 0.05899946 

boosting 336 : -0.604866 
boosting mean 336 : -0.4936942 
boosting RMSE 336 : 0.1576678 

forest 336 : -0.3856325 
forest mean 336 : -0.3611437 
forest RMSE 336 : 0.06260812 

nnet 336 : -0.3311500 
nnet mean 336 : -0.4249987 
nnet RMSE 336 : 0.1483210 


s: 337 
logit 337 : -0.4060337 
logit mean 337 : -0.4010294 
logit RMSE 337 : 0.05891277 

boosting 337 : -0.5987345 
boosting mean 337 : -0.4940059 
boosting RMSE 337 : 0.1578055 

forest 337 : -0.3239436 
forest mean 337 : -0.3610333 
forest RMSE 337 : 0.0626523 

nnet 337 : -0.6509924 
nnet mean 337 : -0.4256693 
nnet RMSE 337 : 0.1487306 


s: 338 
logit 338 : -0.3051835 
logit mean 338 : -0.4007458 
logit RMSE 338 : 0.0590512 

boosting 338 : -0.736677 
boosting mean 338 : -0.4947239 
boosting RMSE 338 : 0.1586324 

forest 338 : -0.3716688 
forest mean 338 : -0.3610648 
forest RMSE 338 : 0.06257852 

nnet 338 : -0.3213791 
nnet mean 338 : -0.4253607 
nnet RMSE 338 : 0.1485720 


s: 339 
logit 339 : -0.4042916 
logit mean 339 : -0.4007563 
logit RMSE 339 : 0.0589645 

boosting 339 : -0.418224 
boosting mean 339 : -0.4944982 
boosting RMSE 339 : 0.1584014 

forest 339 : -0.2872128 
forest mean 339 : -0.3608469 
forest RMSE 339 : 0.0627857 

nnet 339 : -0.6204135 
nnet mean 339 : -0.4259361 
nnet RMSE 339 : 0.1488349 


s: 340 
logit 340 : -0.4308568 
logit mean 340 : -0.4008448 
logit RMSE 340 : 0.0589015 

boosting 340 : -0.2911877 
boosting mean 340 : -0.4939002 
boosting RMSE 340 : 0.1582783 

forest 340 : -0.3348854 
forest mean 340 : -0.3607706 
forest RMSE 340 : 0.06279268 

nnet 340 : -0.08934847 
nnet mean 340 : -0.4249461 
nnet RMSE 340 : 0.1495677 


s: 341 
logit 341 : -0.424843 
logit mean 341 : -0.4009152 
logit RMSE 341 : 0.05883046 

boosting 341 : -0.6247015 
boosting mean 341 : -0.4942838 
boosting RMSE 341 : 0.1585138 

forest 341 : -0.4368248 
forest mean 341 : -0.3609936 
forest RMSE 341 : 0.06273225 

nnet 341 : -0.4233233 
nnet mean 341 : -0.4249414 
nnet RMSE 341 : 0.1493536 


s: 342 
logit 342 : -0.3746237 
logit mean 342 : -0.4008383 
logit RMSE 342 : 0.05876041 

boosting 342 : -0.5546828 
boosting mean 342 : -0.4944604 
boosting RMSE 342 : 0.1585027 

forest 342 : -0.3994404 
forest mean 342 : -0.361106 
forest RMSE 342 : 0.06264047 

nnet 342 : -0.5162304 
nnet mean 342 : -0.4252083 
nnet RMSE 342 : 0.1492675 


s: 343 
logit 343 : -0.4029278 
logit mean 343 : -0.4008444 
logit RMSE 343 : 0.0586749 

boosting 343 : -0.4748664 
boosting mean 343 : -0.4944033 
boosting RMSE 343 : 0.1583231 

forest 343 : -0.2888225 
forest mean 343 : -0.3608953 
forest RMSE 343 : 0.0628365 

nnet 343 : -0.6350057 
nnet mean 343 : -0.4258199 
nnet RMSE 343 : 0.1495889 


s: 344 
logit 344 : -0.474485 
logit mean 344 : -0.4010585 
logit RMSE 344 : 0.05872703 

boosting 344 : -0.5243876 
boosting mean 344 : -0.4944904 
boosting RMSE 344 : 0.1582350 

forest 344 : -0.3756702 
forest mean 344 : -0.3609382 
forest RMSE 344 : 0.06275881 

nnet 344 : -0.4632558 
nnet mean 344 : -0.4259288 
nnet RMSE 344 : 0.1494102 


s: 345 
logit 345 : -0.3360829 
logit mean 345 : -0.4008701 
logit RMSE 345 : 0.05874274 

boosting 345 : -0.3042096 
boosting mean 345 : -0.4939389 
boosting RMSE 345 : 0.1580897 

forest 345 : -0.2735179 
forest mean 345 : -0.3606848 
forest RMSE 345 : 0.06303667 

nnet 345 : -0.5782486 
nnet mean 345 : -0.4263703 
nnet RMSE 345 : 0.1495018 


s: 346 
logit 346 : -0.4386497 
logit mean 346 : -0.4009793 
logit RMSE 346 : 0.05869458 

boosting 346 : -0.4631614 
boosting mean 346 : -0.49385 
boosting RMSE 346 : 0.1578976 

forest 346 : -0.3742215 
forest mean 346 : -0.3607240 
forest RMSE 346 : 0.06296077 

nnet 346 : -0.4983915 
nnet mean 346 : -0.4265784 
nnet RMSE 346 : 0.1493793 


s: 347 
logit 347 : -0.4119567 
logit mean 347 : -0.4010110 
logit RMSE 347 : 0.05861346 

boosting 347 : -0.4940306 
boosting mean 347 : -0.4938505 
boosting RMSE 347 : 0.1577507 

forest 347 : -0.3967842 
forest mean 347 : -0.3608279 
forest RMSE 347 : 0.06287022 

nnet 347 : -0.5064498 
nnet mean 347 : -0.4268086 
nnet RMSE 347 : 0.1492734 


s: 348 
logit 348 : -0.4523661 
logit mean 348 : -0.4011585 
logit RMSE 348 : 0.05859646 

boosting 348 : -0.3864978 
boosting mean 348 : -0.493542 
boosting RMSE 348 : 0.1575255 

forest 348 : -0.4296721 
forest mean 348 : -0.3610257 
forest RMSE 348 : 0.06279997 

nnet 348 : -0.3548645 
nnet mean 348 : -0.4266019 
nnet RMSE 348 : 0.1490784 


s: 349 
logit 349 : -0.3667918 
logit mean 349 : -0.4010601 
logit RMSE 349 : 0.05853945 

boosting 349 : -0.4193186 
boosting mean 349 : -0.4933293 
boosting RMSE 349 : 0.1573031 

forest 349 : -0.3105314 
forest mean 349 : -0.360881 
forest RMSE 349 : 0.06289254 

nnet 349 : -0.3421024 
nnet mean 349 : -0.4263597 
nnet RMSE 349 : 0.1488969 


s: 350 
logit 350 : -0.3822505 
logit mean 350 : -0.4010063 
logit RMSE 350 : 0.05846346 

boosting 350 : -0.4027293 
boosting mean 350 : -0.4930705 
boosting RMSE 350 : 0.1570783 

forest 350 : -0.4057679 
forest mean 350 : -0.3610093 
forest RMSE 350 : 0.06280338 

nnet 350 : -0.2812862 
nnet mean 350 : -0.4259453 
nnet RMSE 350 : 0.1488194 


s: 351 
logit 351 : -0.3751636 
logit mean 351 : -0.4009327 
logit RMSE 351 : 0.05839517 

boosting 351 : -0.5123128 
boosting mean 351 : -0.4931253 
boosting RMSE 351 : 0.1569689 

forest 351 : -0.3165777 
forest mean 351 : -0.3608827 
forest RMSE 351 : 0.06287173 

nnet 351 : -0.4159766 
nnet mean 351 : -0.4259169 
nnet RMSE 351 : 0.1486097 


s: 352 
logit 352 : -0.2891153 
logit mean 352 : -0.400615 
logit RMSE 352 : 0.0586109 

boosting 352 : -0.4128314 
boosting mean 352 : -0.4928972 
boosting RMSE 352 : 0.1567472 

forest 352 : -0.3715094 
forest mean 352 : -0.3609129 
forest RMSE 352 : 0.06280073 

nnet 352 : -0.390605 
nnet mean 352 : -0.4258165 
nnet RMSE 352 : 0.1483993 


s: 353 
logit 353 : -0.4837478 
logit mean 353 : -0.4008505 
logit RMSE 353 : 0.05869732 

boosting 353 : -0.5488177 
boosting mean 353 : -0.4930556 
boosting RMSE 353 : 0.1567253 

forest 353 : -0.3138679 
forest mean 353 : -0.3607796 
forest RMSE 353 : 0.06287905 

nnet 353 : -0.2563377 
nnet mean 353 : -0.4253364 
nnet RMSE 353 : 0.1483861 


s: 354 
logit 354 : -0.3366684 
logit mean 354 : -0.4006692 
logit RMSE 354 : 0.05871093 

boosting 354 : -0.5388471 
boosting mean 354 : -0.4931849 
boosting RMSE 354 : 0.1566777 

forest 354 : -0.3586835 
forest mean 354 : -0.3607737 
forest RMSE 354 : 0.06282856 

nnet 354 : -0.1362694 
nnet mean 354 : -0.4245199 
nnet RMSE 354 : 0.1488379 


s: 355 
logit 355 : -0.419715 
logit mean 355 : -0.4007229 
logit RMSE 355 : 0.05863751 

boosting 355 : -0.4422506 
boosting mean 355 : -0.4930415 
boosting RMSE 355 : 0.1564729 

forest 355 : -0.3934142 
forest mean 355 : -0.3608656 
forest RMSE 355 : 0.06274098 

nnet 355 : -0.4814715 
nnet mean 355 : -0.4246803 
nnet RMSE 355 : 0.1486910 


s: 356 
logit 356 : -0.4306911 
logit mean 356 : -0.4008071 
logit RMSE 356 : 0.05857769 

boosting 356 : -0.3152791 
boosting mean 356 : -0.4925421 
boosting RMSE 356 : 0.1563175 

forest 356 : -0.3305151 
forest mean 356 : -0.3607804 
forest RMSE 356 : 0.06276094 

nnet 356 : -0.5603193 
nnet mean 356 : -0.4250613 
nnet RMSE 356 : 0.1487249 


s: 357 
logit 357 : -0.3966833 
logit mean 357 : -0.4007955 
logit RMSE 357 : 0.05849585 

boosting 357 : -0.5599992 
boosting mean 357 : -0.4927311 
boosting RMSE 357 : 0.1563279 

forest 357 : -0.2843983 
forest mean 357 : -0.3605664 
forest RMSE 357 : 0.06297091 

nnet 357 : -0.4197474 
nnet mean 357 : -0.4250464 
nnet RMSE 357 : 0.1485201 


s: 358 
logit 358 : -0.4868774 
logit mean 358 : -0.4010360 
logit RMSE 358 : 0.05859428 

boosting 358 : -0.4132056 
boosting mean 358 : -0.4925089 
boosting RMSE 358 : 0.1561110 

forest 358 : -0.4017727 
forest mean 358 : -0.3606815 
forest RMSE 358 : 0.06288297 

nnet 358 : -0.1950846 
nnet mean 358 : -0.4244041 
nnet RMSE 358 : 0.1487074 


s: 359 
logit 359 : -0.3960939 
logit mean 359 : -0.4010222 
logit RMSE 359 : 0.05851298 

boosting 359 : -0.5002513 
boosting mean 359 : -0.4925305 
boosting RMSE 359 : 0.1559832 

forest 359 : -0.3419914 
forest mean 359 : -0.3606295 
forest RMSE 359 : 0.06286992 

nnet 359 : -0.3094025 
nnet mean 359 : -0.4240837 
nnet RMSE 359 : 0.1485772 


s: 360 
logit 360 : -0.4962049 
logit mean 360 : -0.4012866 
logit RMSE 360 : 0.05865124 

boosting 360 : -0.6139556 
boosting mean 360 : -0.4928678 
boosting RMSE 360 : 0.1561741 

forest 360 : -0.4220362 
forest mean 360 : -0.3608 
forest RMSE 360 : 0.06279328 

nnet 360 : -0.5092722 
nnet mean 360 : -0.4243203 
nnet RMSE 360 : 0.1484824 


s: 361 
logit 361 : -0.5082651 
logit mean 361 : -0.4015829 
logit RMSE 361 : 0.05884648 

boosting 361 : -0.6307272 
boosting mean 361 : -0.4932497 
boosting RMSE 361 : 0.1564297 

forest 361 : -0.4056174 
forest mean 361 : -0.3609242 
forest RMSE 361 : 0.06270695 

nnet 361 : -0.6622664 
nnet mean 361 : -0.4249795 
nnet RMSE 361 : 0.1489177 


s: 362 
logit 362 : -0.4515408 
logit mean 362 : -0.4017209 
logit RMSE 362 : 0.05882754 

boosting 362 : -0.3677823 
boosting mean 362 : -0.4929031 
boosting RMSE 362 : 0.1562226 

forest 362 : -0.4616792 
forest mean 362 : -0.3612025 
forest RMSE 362 : 0.06270413 

nnet 362 : -0.3558040 
nnet mean 362 : -0.4247884 
nnet RMSE 362 : 0.14873 


s: 363 
logit 363 : -0.3696830 
logit mean 363 : -0.4016327 
logit RMSE 363 : 0.058768 

boosting 363 : -0.4517416 
boosting mean 363 : -0.4927897 
boosting RMSE 363 : 0.1560309 

forest 363 : -0.3363939 
forest mean 363 : -0.3611342 
forest RMSE 363 : 0.06270663 

nnet 363 : -0.4034704 
nnet mean 363 : -0.4247297 
nnet RMSE 363 : 0.1485251 


s: 364 
logit 364 : -0.3975718 
logit mean 364 : -0.4016215 
logit RMSE 364 : 0.05868736 

boosting 364 : -0.4279582 
boosting mean 364 : -0.4926116 
boosting RMSE 364 : 0.1558233 

forest 364 : -0.4171391 
forest mean 364 : -0.361288 
forest RMSE 364 : 0.06262688 

nnet 364 : -0.5866859 
nnet mean 364 : -0.4251746 
nnet RMSE 364 : 0.1486434 


s: 365 
logit 365 : -0.3391601 
logit mean 365 : -0.4014504 
logit RMSE 365 : 0.05869337 

boosting 365 : -0.5652936 
boosting mean 365 : -0.4928107 
boosting RMSE 365 : 0.1558501 

forest 365 : -0.2988175 
forest mean 365 : -0.3611169 
forest RMSE 365 : 0.06276488 

nnet 365 : -0.5566187 
nnet mean 365 : -0.4255347 
nnet RMSE 365 : 0.1486658 


s: 366 
logit 366 : -0.431807 
logit mean 366 : -0.4015333 
logit RMSE 366 : 0.0586367 

boosting 366 : -0.552688 
boosting mean 366 : -0.4929743 
boosting RMSE 366 : 0.1558415 

forest 366 : -0.2405618 
forest mean 366 : -0.3607875 
forest RMSE 366 : 0.0632307 

nnet 366 : -0.1200698 
nnet mean 366 : -0.4247001 
nnet RMSE 366 : 0.1491819 


s: 367 
logit 367 : -0.4521002 
logit mean 367 : -0.4016711 
logit RMSE 367 : 0.05861989 

boosting 367 : -0.4572996 
boosting mean 367 : -0.4928771 
boosting RMSE 367 : 0.1556578 

forest 367 : -0.393275 
forest mean 367 : -0.360876 
forest RMSE 367 : 0.06314547 

nnet 367 : -0.2420580 
nnet mean 367 : -0.4242024 
nnet RMSE 367 : 0.1492065 


s: 368 
logit 368 : -0.4213906 
logit mean 368 : -0.4017247 
logit RMSE 368 : 0.0585508 

boosting 368 : -0.5525628 
boosting mean 368 : -0.4930393 
boosting RMSE 368 : 0.1556495 

forest 368 : -0.3239488 
forest mean 368 : -0.3607757 
forest RMSE 368 : 0.06318411 

nnet 368 : -0.3026442 
nnet mean 368 : -0.4238721 
nnet RMSE 368 : 0.14909 


s: 369 
logit 369 : -0.3057965 
logit mean 369 : -0.4014647 
logit RMSE 369 : 0.0586767 

boosting 369 : -0.6535867 
boosting mean 369 : -0.4934744 
boosting RMSE 369 : 0.155998 

forest 369 : -0.3616363 
forest mean 369 : -0.360778 
forest RMSE 369 : 0.06313004 

nnet 369 : -0.4816483 
nnet mean 369 : -0.4240287 
nnet RMSE 369 : 0.1489485 


s: 370 
logit 370 : -0.4321479 
logit mean 370 : -0.4015477 
logit RMSE 370 : 0.05862119 

boosting 370 : -0.4883127 
boosting mean 370 : -0.4934604 
boosting RMSE 370 : 0.1558547 

forest 370 : -0.3557587 
forest mean 370 : -0.3607644 
forest RMSE 370 : 0.06308661 

nnet 370 : -0.356284 
nnet mean 370 : -0.4238456 
nnet RMSE 370 : 0.1487644 


s: 371 
logit 371 : -0.4040398 
logit mean 371 : -0.4015544 
logit RMSE 371 : 0.0585425 

boosting 371 : -0.3573185 
boosting mean 371 : -0.4930935 
boosting RMSE 371 : 0.1556603 

forest 371 : -0.3859275 
forest mean 371 : -0.3608323 
forest RMSE 371 : 0.06300576 

nnet 371 : -0.4427706 
nnet mean 371 : -0.4238966 
nnet RMSE 371 : 0.1485804 


s: 372 
logit 372 : -0.3339255 
logit mean 372 : -0.4013726 
logit RMSE 372 : 0.05856405 

boosting 372 : -0.5559338 
boosting mean 372 : -0.4932624 
boosting RMSE 372 : 0.155661 

forest 372 : -0.4121864 
forest mean 372 : -0.3609703 
forest RMSE 372 : 0.0629242 

nnet 372 : -0.4182019 
nnet mean 372 : -0.4238813 
nnet RMSE 372 : 0.1483836 


s: 373 
logit 373 : -0.4221248 
logit mean 373 : -0.4014282 
logit RMSE 373 : 0.05849671 

boosting 373 : -0.4123786 
boosting mean 373 : -0.4930456 
boosting RMSE 373 : 0.1554535 

forest 373 : -0.3032734 
forest mean 373 : -0.3608156 
forest RMSE 373 : 0.06303905 

nnet 373 : -0.1464944 
nnet mean 373 : -0.4231376 
nnet RMSE 373 : 0.1487647 


s: 374 
logit 374 : -0.4485539 
logit mean 374 : -0.4015542 
logit RMSE 374 : 0.05847238 

boosting 374 : -0.6051932 
boosting mean 374 : -0.4933454 
boosting RMSE 374 : 0.1556077 

forest 374 : -0.3859602 
forest mean 374 : -0.3608828 
forest RMSE 374 : 0.06295891 

nnet 374 : -0.4161289 
nnet mean 374 : -0.4231189 
nnet RMSE 374 : 0.1485681 


s: 375 
logit 375 : -0.3738217 
logit mean 375 : -0.4014803 
logit RMSE 375 : 0.05841001 

boosting 375 : -0.4309872 
boosting mean 375 : -0.4931791 
boosting RMSE 375 : 0.1554083 

forest 375 : -0.3297011 
forest mean 375 : -0.3607997 
forest RMSE 375 : 0.06297962 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 375 : -0.2525192 
nnet mean 375 : -0.422664 
nnet RMSE 375 : 0.1485652 


s: 376 
logit 376 : -0.3971948 
logit mean 376 : -0.4014689 
logit RMSE 376 : 0.05833247 

boosting 376 : -0.6186138 
boosting mean 376 : -0.4935127 
boosting RMSE 376 : 0.1556105 

forest 376 : -0.2852688 
forest mean 376 : -0.3605988 
forest RMSE 376 : 0.0631735 

nnet 376 : -0.207618 
nnet mean 376 : -0.422092 
nnet RMSE 376 : 0.1486988 


s: 377 
logit 377 : -0.4270561 
logit mean 377 : -0.4015367 
logit RMSE 377 : 0.05827171 

boosting 377 : -0.585832 
boosting mean 377 : -0.4937576 
boosting RMSE 377 : 0.1556984 

forest 377 : -0.3865559 
forest mean 377 : -0.3606677 
forest RMSE 377 : 0.06309347 

nnet 377 : -0.6614369 
nnet mean 377 : -0.4227269 
nnet RMSE 377 : 0.1491107 


s: 378 
logit 378 : -0.4578537 
logit mean 378 : -0.4016857 
logit RMSE 378 : 0.05827061 

boosting 378 : -0.4909918 
boosting mean 378 : -0.4937503 
boosting RMSE 378 : 0.1555627 

forest 378 : -0.3618785 
forest mean 378 : -0.3606709 
forest RMSE 378 : 0.06304045 

nnet 378 : -0.6451164 
nnet mean 378 : -0.4233152 
nnet RMSE 378 : 0.1494460 


s: 379 
logit 379 : -0.3737784 
logit mean 379 : -0.4016121 
logit RMSE 379 : 0.05820927 

boosting 379 : -0.457973 
boosting mean 379 : -0.4936559 
boosting RMSE 379 : 0.1553859 

forest 379 : -0.3466991 
forest mean 379 : -0.360634 
forest RMSE 379 : 0.06301674 

nnet 379 : -0.4500206 
nnet mean 379 : -0.4233857 
nnet RMSE 379 : 0.1492709 


s: 380 
logit 380 : -0.4105749 
logit mean 380 : -0.4016357 
logit RMSE 380 : 0.05813516 

boosting 380 : -0.3898770 
boosting mean 380 : -0.4933828 
boosting RMSE 380 : 0.1551822 

forest 380 : -0.3433896 
forest mean 380 : -0.3605886 
forest RMSE 380 : 0.06300073 

nnet 380 : -0.4895835 
nnet mean 380 : -0.4235599 
nnet RMSE 380 : 0.1491451 


s: 381 
logit 381 : -0.3853788 
logit mean 381 : -0.401593 
logit RMSE 381 : 0.05806365 

boosting 381 : -0.6809606 
boosting mean 381 : -0.4938751 
boosting RMSE 381 : 0.1556454 

forest 381 : -0.3595164 
forest mean 381 : -0.3605858 
forest RMSE 381 : 0.06295217 

nnet 381 : -0.5206085 
nnet mean 381 : -0.4238146 
nnet RMSE 381 : 0.1490774 


s: 382 
logit 382 : -0.4561103 
logit mean 382 : -0.4017357 
logit RMSE 382 : 0.05805862 

boosting 382 : -0.4956142 
boosting mean 382 : -0.4938797 
boosting RMSE 382 : 0.1555185 

forest 382 : -0.3934919 
forest mean 382 : -0.3606720 
forest RMSE 382 : 0.0628706 

nnet 382 : -0.5620231 
nnet mean 382 : -0.4241764 
nnet RMSE 382 : 0.1491128 


s: 383 
logit 383 : -0.4261546 
logit mean 383 : -0.4017995 
logit RMSE 383 : 0.05799818 

boosting 383 : -0.664447 
boosting mean 383 : -0.494325 
boosting RMSE 383 : 0.1559021 

forest 383 : -0.365156 
forest mean 383 : -0.3606837 
forest RMSE 383 : 0.06281371 

nnet 383 : -0.2574868 
nnet mean 383 : -0.4237412 
nnet RMSE 383 : 0.1490959 


s: 384 
logit 384 : -0.3263812 
logit mean 384 : -0.4016031 
logit RMSE 384 : 0.05804432 

boosting 384 : -0.3882185 
boosting mean 384 : -0.4940487 
boosting RMSE 384 : 0.1557001 

forest 384 : -0.3167593 
forest mean 384 : -0.3605693 
forest RMSE 384 : 0.06287553 

nnet 384 : -0.4874667 
nnet mean 384 : -0.4239072 
nnet RMSE 384 : 0.1489685 


s: 385 
logit 385 : -0.3825931 
logit mean 385 : -0.4015537 
logit RMSE 385 : 0.05797567 

boosting 385 : -0.7695692 
boosting mean 385 : -0.4947643 
boosting RMSE 385 : 0.1566343 

forest 385 : -0.3323392 
forest mean 385 : -0.3604959 
forest RMSE 385 : 0.06288843 

nnet 385 : -0.4954366 
nnet mean 385 : -0.4240930 
nnet RMSE 385 : 0.1488544 


s: 386 
logit 386 : -0.4447182 
logit mean 386 : -0.4016655 
logit RMSE 386 : 0.05794525 

boosting 386 : -0.4450555 
boosting mean 386 : -0.4946356 
boosting RMSE 386 : 0.1564481 

forest 386 : -0.3673479 
forest mean 386 : -0.3605137 
forest RMSE 386 : 0.0628289 

nnet 386 : -0.6560265 
nnet mean 386 : -0.4246938 
nnet RMSE 386 : 0.1492315 


s: 387 
logit 387 : -0.4900574 
logit mean 387 : -0.4018939 
logit RMSE 387 : 0.05805112 

boosting 387 : -0.6867324 
boosting mean 387 : -0.4951319 
boosting RMSE 387 : 0.1569242 

forest 387 : -0.360045 
forest mean 387 : -0.3605125 
forest RMSE 387 : 0.06278053 

nnet 387 : -0.4015718 
nnet mean 387 : -0.4246341 
nnet RMSE 387 : 0.1490386 


s: 388 
logit 388 : -0.3554988 
logit mean 388 : -0.4017744 
logit RMSE 388 : 0.05802027 

boosting 388 : -0.6740725 
boosting mean 388 : -0.4955931 
boosting RMSE 388 : 0.1573383 

forest 388 : -0.3967212 
forest mean 388 : -0.3606058 
forest RMSE 388 : 0.0626998 

nnet 388 : -0.4309639 
nnet mean 388 : -0.4246504 
nnet RMSE 388 : 0.1488548 


s: 389 
logit 389 : -0.3409591 
logit mean 389 : -0.401618 
logit RMSE 389 : 0.05802291 

boosting 389 : -0.4573198 
boosting mean 389 : -0.4954947 
boosting RMSE 389 : 0.1571628 

forest 389 : -0.3339729 
forest mean 389 : -0.3605373 
forest RMSE 389 : 0.06270858 

nnet 389 : -0.3382352 
nnet mean 389 : -0.4244282 
nnet RMSE 389 : 0.1486963 


s: 390 
logit 390 : -0.3896422 
logit mean 390 : -0.4015873 
logit RMSE 390 : 0.05795085 

boosting 390 : -0.5358961 
boosting mean 390 : -0.4955983 
boosting RMSE 390 : 0.1571119 

forest 390 : -0.3809164 
forest mean 390 : -0.3605896 
forest RMSE 390 : 0.06263559 

nnet 390 : -0.2584027 
nnet mean 390 : -0.4240025 
nnet RMSE 390 : 0.1486785 


s: 391 
logit 391 : -0.3996948 
logit mean 391 : -0.4015825 
logit RMSE 391 : 0.0578767 

boosting 391 : -0.7702887 
boosting mean 391 : -0.4963009 
boosting RMSE 391 : 0.1580244 

forest 391 : -0.2367671 
forest mean 391 : -0.3602729 
forest RMSE 391 : 0.06309777 

nnet 391 : -0.5673817 
nnet mean 391 : -0.4243692 
nnet RMSE 391 : 0.1487293 


s: 392 
logit 392 : -0.4670674 
logit mean 392 : -0.4017495 
logit RMSE 392 : 0.057902 

boosting 392 : -0.5463417 
boosting mean 392 : -0.4964285 
boosting RMSE 392 : 0.1579957 

forest 392 : -0.4152246 
forest mean 392 : -0.3604131 
forest RMSE 392 : 0.06302193 

nnet 392 : -0.5822834 
nnet mean 392 : -0.4247721 
nnet RMSE 392 : 0.1488246 


s: 393 
logit 393 : -0.3968952 
logit mean 393 : -0.4017372 
logit RMSE 393 : 0.0578285 

boosting 393 : -0.4614236 
boosting mean 393 : -0.4963394 
boosting RMSE 393 : 0.1578250 

forest 393 : -0.3324622 
forest mean 393 : -0.360342 
forest RMSE 393 : 0.06303383 

nnet 393 : -0.4530513 
nnet mean 393 : -0.424844 
nnet RMSE 393 : 0.1486592 


s: 394 
logit 394 : -0.378569 
logit mean 394 : -0.4016784 
logit RMSE 394 : 0.05776516 

boosting 394 : -0.4440965 
boosting mean 394 : -0.4962068 
boosting RMSE 394 : 0.1576402 

forest 394 : -0.3512189 
forest mean 394 : -0.3603188 
forest RMSE 394 : 0.06300174 

nnet 394 : -0.4445469 
nnet mean 394 : -0.424894 
nnet RMSE 394 : 0.1484874 


s: 395 
logit 395 : -0.4948272 
logit mean 395 : -0.4019142 
logit RMSE 395 : 0.05788895 

boosting 395 : -0.4583128 
boosting mean 395 : -0.4961109 
boosting RMSE 395 : 0.1574679 

forest 395 : -0.3762667 
forest mean 395 : -0.3603592 
forest RMSE 395 : 0.06293327 

nnet 395 : -0.5543078 
nnet mean 395 : -0.4252217 
nnet RMSE 395 : 0.1485024 


s: 396 
logit 396 : -0.4211841 
logit mean 396 : -0.4019629 
logit RMSE 396 : 0.05782561 

boosting 396 : -0.4239922 
boosting mean 396 : -0.4959288 
boosting RMSE 396 : 0.1572735 

forest 396 : -0.4104958 
forest mean 396 : -0.3604858 
forest RMSE 396 : 0.06285597 

nnet 396 : -0.5307496 
nnet mean 396 : -0.4254881 
nnet RMSE 396 : 0.1484602 


s: 397 
logit 397 : -0.3566049 
logit mean 397 : -0.4018486 
logit RMSE 397 : 0.05779379 

boosting 397 : -0.3746925 
boosting mean 397 : -0.4956234 
boosting RMSE 397 : 0.1570805 

forest 397 : -0.4103178 
forest mean 397 : -0.3606113 
forest RMSE 397 : 0.06277889 

nnet 397 : -0.4437928 
nnet mean 397 : -0.4255343 
nnet RMSE 397 : 0.1482894 


s: 398 
logit 398 : -0.368581 
logit mean 398 : -0.401765 
logit RMSE 398 : 0.05774262 

boosting 398 : -0.3966186 
boosting mean 398 : -0.4953747 
boosting RMSE 398 : 0.1568831 

forest 398 : -0.3839149 
forest mean 398 : -0.3606699 
forest RMSE 398 : 0.06270516 

nnet 398 : -0.2396599 
nnet mean 398 : -0.4250672 
nnet RMSE 398 : 0.1483209 


s: 399 
logit 399 : -0.4458461 
logit mean 399 : -0.4018755 
logit RMSE 399 : 0.05771587 

boosting 399 : -0.5150903 
boosting mean 399 : -0.4954241 
boosting RMSE 399 : 0.1567923 

forest 399 : -0.3510303 
forest mean 399 : -0.3606457 
forest RMSE 399 : 0.0626745 

nnet 399 : -0.5190636 
nnet mean 399 : -0.4253028 
nnet RMSE 399 : 0.1482548 


s: 400 
logit 400 : -0.4368412 
logit mean 400 : -0.4019629 
logit RMSE 400 : 0.0576731 

boosting 400 : -0.559207 
boosting mean 400 : -0.4955835 
boosting RMSE 400 : 0.1567984 

forest 400 : -0.4002592 
forest mean 400 : -0.3607448 
forest RMSE 400 : 0.0625961 

nnet 400 : -0.2831728 
nnet mean 400 : -0.4249475 
nnet RMSE 400 : 0.1481846 


s: 401 
logit 401 : -0.3764413 
logit mean 401 : -0.4018993 
logit RMSE 401 : 0.05761316 

boosting 401 : -0.7277989 
boosting mean 401 : -0.4961626 
boosting RMSE 401 : 0.1574559 

forest 401 : -0.2656972 
forest mean 401 : -0.3605077 
forest RMSE 401 : 0.06287672 

nnet 401 : -0.3907364 
nnet mean 401 : -0.4248622 
nnet RMSE 401 : 0.1480004 


s: 402 
logit 402 : -0.4005706 
logit mean 402 : -0.4018960 
logit RMSE 402 : 0.05754147 

boosting 402 : -0.4894839 
boosting mean 402 : -0.496146 
boosting RMSE 402 : 0.1573233 

forest 402 : -0.2684476 
forest mean 402 : -0.3602787 
forest RMSE 402 : 0.0631403 

nnet 402 : -0.4730462 
nnet mean 402 : -0.424982 
nnet RMSE 402 : 0.1478611 


s: 403 
logit 403 : -0.399617 
logit mean 403 : -0.4018903 
logit RMSE 403 : 0.05747003 

boosting 403 : -0.5911971 
boosting mean 403 : -0.4963819 
boosting RMSE 403 : 0.1574164 

forest 403 : -0.3082096 
forest mean 403 : -0.3601495 
forest RMSE 403 : 0.06322746 

nnet 403 : -0.3566623 
nnet mean 403 : -0.4248125 
nnet RMSE 403 : 0.1476933 


s: 404 
logit 404 : -0.3720707 
logit mean 404 : -0.4018165 
logit RMSE 404 : 0.05741568 

boosting 404 : -0.649484 
boosting mean 404 : -0.4967608 
boosting RMSE 404 : 0.1577106 

forest 404 : -0.3637405 
forest mean 404 : -0.3601584 
forest RMSE 404 : 0.06317492 

nnet 404 : -0.4268622 
nnet mean 404 : -0.4248176 
nnet RMSE 404 : 0.1475165 


s: 405 
logit 405 : -0.3113729 
logit mean 405 : -0.4015932 
logit RMSE 405 : 0.05751361 

boosting 405 : -0.3699521 
boosting mean 405 : -0.4964477 
boosting RMSE 405 : 0.1575229 

forest 405 : -0.2861539 
forest mean 405 : -0.3599757 
forest RMSE 405 : 0.06334997 

nnet 405 : -0.3553314 
nnet mean 405 : -0.424646 
nnet RMSE 405 : 0.1473510 


s: 406 
logit 406 : -0.3218465 
logit mean 406 : -0.4013968 
logit RMSE 406 : 0.05757354 

boosting 406 : -0.7177 
boosting mean 406 : -0.4969927 
boosting RMSE 406 : 0.1581169 

forest 406 : -0.3455741 
forest mean 406 : -0.3599402 
forest RMSE 406 : 0.06332953 

nnet 406 : -0.2636226 
nnet mean 406 : -0.4242494 
nnet RMSE 406 : 0.1473249 


s: 407 
logit 407 : -0.4482136 
logit mean 407 : -0.4015118 
logit RMSE 407 : 0.0575524 

boosting 407 : -0.4530228 
boosting mean 407 : -0.4968846 
boosting RMSE 407 : 0.1579444 

forest 407 : -0.3148838 
forest mean 407 : -0.3598295 
forest RMSE 407 : 0.06339224 

nnet 407 : -0.6144171 
nnet mean 407 : -0.4247166 
nnet RMSE 407 : 0.1475272 


s: 408 
logit 408 : -0.484523 
logit mean 408 : -0.4017152 
logit RMSE 408 : 0.05763394 

boosting 408 : -0.4044014 
boosting mean 408 : -0.496658 
boosting RMSE 408 : 0.1577509 

forest 408 : -0.4115367 
forest mean 408 : -0.3599562 
forest RMSE 408 : 0.06331708 

nnet 408 : -0.5425736 
nnet mean 408 : -0.4250055 
nnet RMSE 408 : 0.1475152 


s: 409 
logit 409 : -0.3398912 
logit mean 409 : -0.4015641 
logit RMSE 409 : 0.05764012 

boosting 409 : -0.5472824 
boosting mean 409 : -0.4967817 
boosting RMSE 409 : 0.1577261 

forest 409 : -0.3307849 
forest mean 409 : -0.3598849 
forest RMSE 409 : 0.06333217 

nnet 409 : -0.1914772 
nnet mean 409 : -0.4244345 
nnet RMSE 409 : 0.1476951 


s: 410 
logit 410 : -0.4448351 
logit mean 410 : -0.4016696 
logit RMSE 410 : 0.05761235 

boosting 410 : -0.3446042 
boosting mean 410 : -0.4964106 
boosting RMSE 410 : 0.1575574 

forest 410 : -0.4148705 
forest mean 410 : -0.360019 
forest RMSE 410 : 0.06325915 

nnet 410 : -0.5347677 
nnet mean 410 : -0.4247036 
nnet RMSE 410 : 0.1476650 


s: 411 
logit 411 : -0.4038965 
logit mean 411 : -0.4016750 
logit RMSE 411 : 0.05754254 

boosting 411 : -0.6201254 
boosting mean 411 : -0.4967116 
boosting RMSE 411 : 0.1577397 

forest 411 : -0.4189311 
forest mean 411 : -0.3601624 
forest RMSE 411 : 0.06318905 

nnet 411 : -0.09667188 
nnet mean 411 : -0.4239055 
nnet RMSE 411 : 0.1482422 


s: 412 
logit 412 : -0.2843427 
logit mean 412 : -0.4013903 
logit RMSE 412 : 0.05775444 

boosting 412 : -0.2966936 
boosting mean 412 : -0.4962261 
boosting RMSE 412 : 0.1576304 

forest 412 : -0.3080563 
forest mean 412 : -0.3600359 
forest RMSE 412 : 0.06327466 

nnet 412 : -0.4434323 
nnet mean 412 : -0.4239529 
nnet RMSE 412 : 0.1480777 


s: 413 
logit 413 : -0.3265581 
logit mean 413 : -0.4012091 
logit RMSE 413 : 0.05779756 

boosting 413 : -0.5118968 
boosting mean 413 : -0.4962641 
boosting RMSE 413 : 0.1575357 

forest 413 : -0.3498953 
forest mean 413 : -0.3600113 
forest RMSE 413 : 0.06324609 

nnet 413 : -0.4409306 
nnet mean 413 : -0.423994 
nnet RMSE 413 : 0.147912 


s: 414 
logit 414 : -0.4175541 
logit mean 414 : -0.4012485 
logit RMSE 414 : 0.05773416 

boosting 414 : -0.4674763 
boosting mean 414 : -0.4961945 
boosting RMSE 414 : 0.1573803 

forest 414 : -0.4497385 
forest mean 414 : -0.3602281 
forest RMSE 414 : 0.06321694 

nnet 414 : -0.5192571 
nnet mean 414 : -0.4242241 
nnet RMSE 414 : 0.1478495 


s: 415 
logit 415 : -0.3657113 
logit mean 415 : -0.4011629 
logit RMSE 415 : 0.05768912 

boosting 415 : -0.4881052 
boosting mean 415 : -0.496175 
boosting RMSE 415 : 0.15725 

forest 415 : -0.4117518 
forest mean 415 : -0.3603522 
forest RMSE 415 : 0.06314336 

nnet 415 : -0.5341677 
nnet mean 415 : -0.424489 
nnet RMSE 415 : 0.1478180 


s: 416 
logit 416 : -0.3840589 
logit mean 416 : -0.4011218 
logit RMSE 416 : 0.05762504 

boosting 416 : -0.5735215 
boosting mean 416 : -0.496361 
boosting RMSE 416 : 0.1572911 

forest 416 : -0.4131822 
forest mean 416 : -0.3604792 
forest RMSE 416 : 0.06307073 

nnet 416 : -0.365027 
nnet mean 416 : -0.4243461 
nnet RMSE 416 : 0.1476502 


s: 417 
logit 417 : -0.3740210 
logit mean 417 : -0.4010568 
logit RMSE 417 : 0.05756996 

boosting 417 : -0.6069062 
boosting mean 417 : -0.4966261 
boosting RMSE 417 : 0.1574288 

forest 417 : -0.3698106 
forest mean 417 : -0.3605016 
forest RMSE 417 : 0.06301241 

nnet 417 : -0.6221243 
nnet mean 417 : -0.4248204 
nnet RMSE 417 : 0.1478737 


s: 418 
logit 418 : -0.4321585 
logit mean 418 : -0.4011312 
logit RMSE 418 : 0.05752257 

boosting 418 : -0.6153712 
boosting mean 418 : -0.4969101 
boosting RMSE 418 : 0.1575929 

forest 418 : -0.3135045 
forest mean 418 : -0.3603892 
forest RMSE 418 : 0.06307902 

nnet 418 : -0.4299857 
nnet mean 418 : -0.4248328 
nnet RMSE 418 : 0.1477040 


s: 419 
logit 419 : -0.3824877 
logit mean 419 : -0.4010867 
logit RMSE 419 : 0.05746025 

boosting 419 : -0.3956998 
boosting mean 419 : -0.4966686 
boosting RMSE 419 : 0.1574048 

forest 419 : -0.3273819 
forest mean 419 : -0.3603104 
forest RMSE 419 : 0.0631035 

nnet 419 : -0.4343098 
nnet mean 419 : -0.4248554 
nnet RMSE 419 : 0.1475371 


s: 420 
logit 420 : -0.5039705 
logit mean 420 : -0.4013317 
logit RMSE 420 : 0.0576156 

boosting 420 : -0.5092455 
boosting mean 420 : -0.4966985 
boosting RMSE 420 : 0.1573077 

forest 420 : -0.2957148 
forest mean 420 : -0.3601566 
forest RMSE 420 : 0.06323342 

nnet 420 : -0.4757676 
nnet mean 420 : -0.4249766 
nnet RMSE 420 : 0.1474078 


s: 421 
logit 421 : -0.3476289 
logit mean 421 : -0.4012041 
logit RMSE 421 : 0.05760371 

boosting 421 : -0.5253504 
boosting mean 421 : -0.4967666 
boosting RMSE 421 : 0.1572395 

forest 421 : -0.3082097 
forest mean 421 : -0.3600332 
forest RMSE 421 : 0.06331651 

nnet 421 : -0.2974604 
nnet mean 421 : -0.4246737 
nnet RMSE 421 : 0.1473174 


s: 422 
logit 422 : -0.3949671 
logit mean 422 : -0.4011893 
logit RMSE 422 : 0.05753594 

boosting 422 : -0.5139667 
boosting mean 422 : -0.4968073 
boosting RMSE 422 : 0.1571510 

forest 422 : -0.3217253 
forest mean 422 : -0.3599424 
forest RMSE 422 : 0.06335613 

nnet 422 : -0.4596197 
nnet mean 422 : -0.4247565 
nnet RMSE 422 : 0.1471714 


s: 423 
logit 423 : -0.4069147 
logit mean 423 : -0.4012029 
logit RMSE 423 : 0.05746887 

boosting 423 : -0.4642983 
boosting mean 423 : -0.4967305 
boosting RMSE 423 : 0.1569963 

forest 423 : -0.3415416 
forest mean 423 : -0.3598989 
forest RMSE 423 : 0.063345 

nnet 423 : -0.6042308 
nnet mean 423 : -0.4251808 
nnet RMSE 423 : 0.1473323 


s: 424 
logit 424 : -0.4698282 
logit mean 424 : -0.4013647 
logit RMSE 424 : 0.05750115 

boosting 424 : -0.6414838 
boosting mean 424 : -0.4970719 
boosting RMSE 424 : 0.1572490 

forest 424 : -0.2936897 
forest mean 424 : -0.3597428 
forest RMSE 424 : 0.06348055 

nnet 424 : -0.4714609 
nnet mean 424 : -0.4252899 
nnet RMSE 424 : 0.1471994 


s: 425 
logit 425 : -0.3834951 
logit mean 425 : -0.4013227 
logit RMSE 425 : 0.05743904 

boosting 425 : -0.4941988 
boosting mean 425 : -0.4970651 
boosting RMSE 425 : 0.1571303 

forest 425 : -0.3951019 
forest mean 425 : -0.359826 
forest RMSE 425 : 0.06340627 

nnet 425 : -0.507547 
nnet mean 425 : -0.4254835 
nnet RMSE 425 : 0.1471186 


s: 426 
logit 426 : -0.2782425 
logit mean 426 : -0.4010338 
logit RMSE 426 : 0.05767407 

boosting 426 : -0.3251685 
boosting mean 426 : -0.4966616 
boosting RMSE 426 : 0.1569876 

forest 426 : -0.3346019 
forest mean 426 : -0.3597668 
forest RMSE 426 : 0.06341102 

nnet 426 : -0.5617752 
nnet mean 426 : -0.4258034 
nnet RMSE 426 : 0.1471547 


s: 427 
logit 427 : -0.3909058 
logit mean 427 : -0.4010100 
logit RMSE 427 : 0.05760818 

boosting 427 : -0.2820258 
boosting mean 427 : -0.496159 
boosting RMSE 427 : 0.1569076 

forest 427 : -0.3939583 
forest mean 427 : -0.3598468 
forest RMSE 427 : 0.0633374 

nnet 427 : -0.2144136 
nnet mean 427 : -0.4253084 
nnet RMSE 427 : 0.1472565 


s: 428 
logit 428 : -0.4018675 
logit mean 428 : -0.4010120 
logit RMSE 428 : 0.05754091 

boosting 428 : -0.3838443 
boosting mean 428 : -0.4958965 
boosting RMSE 428 : 0.1567261 

forest 428 : -0.3733379 
forest mean 428 : -0.3598784 
forest RMSE 428 : 0.06327649 

nnet 428 : -0.3855167 
nnet mean 428 : -0.4252154 
nnet RMSE 428 : 0.147086 


s: 429 
logit 429 : -0.3441734 
logit mean 429 : -0.4008796 
logit RMSE 429 : 0.05753698 

boosting 429 : -0.4144232 
boosting mean 429 : -0.4957066 
boosting RMSE 429 : 0.1565449 

forest 429 : -0.3855293 
forest mean 429 : -0.3599381 
forest RMSE 429 : 0.06320656 

nnet 429 : -0.1897849 
nnet mean 429 : -0.4246666 
nnet RMSE 429 : 0.1472646 


s: 430 
logit 430 : -0.4095694 
logit mean 430 : -0.4008998 
logit RMSE 430 : 0.05747189 

boosting 430 : -0.3406291 
boosting mean 430 : -0.495346 
boosting RMSE 430 : 0.156389 

forest 430 : -0.3243733 
forest mean 430 : -0.3598554 
forest RMSE 430 : 0.06323827 

nnet 430 : -0.3556438 
nnet mean 430 : -0.4245061 
nnet RMSE 430 : 0.1471088 


s: 431 
logit 431 : -0.4596637 
logit mean 431 : -0.4010361 
logit RMSE 431 : 0.05747707 

boosting 431 : -0.5030175 
boosting mean 431 : -0.4953638 
boosting RMSE 431 : 0.1562863 

forest 431 : -0.3253871 
forest mean 431 : -0.3597755 
forest RMSE 431 : 0.06326703 

nnet 431 : -0.1479621 
nnet mean 431 : -0.4238645 
nnet RMSE 431 : 0.1474387 


s: 432 
logit 432 : -0.3720778 
logit mean 432 : -0.4009691 
logit RMSE 432 : 0.05742622 

boosting 432 : -0.5588857 
boosting mean 432 : -0.4955108 
boosting RMSE 432 : 0.1562923 

forest 432 : -0.2913332 
forest mean 432 : -0.359617 
forest RMSE 432 : 0.06340967 

nnet 432 : -0.3665004 
nnet mean 432 : -0.4237317 
nnet RMSE 432 : 0.1472768 


s: 433 
logit 433 : -0.4426168 
logit mean 433 : -0.4010653 
logit RMSE 433 : 0.05739642 

boosting 433 : -0.6393392 
boosting mean 433 : -0.495843 
boosting RMSE 433 : 0.1565349 

forest 433 : -0.2913517 
forest mean 433 : -0.3594594 
forest RMSE 433 : 0.06355126 

nnet 433 : -0.5083947 
nnet mean 433 : -0.4239272 
nnet RMSE 433 : 0.1471989 


s: 434 
logit 434 : -0.3613294 
logit mean 434 : -0.4009737 
logit RMSE 434 : 0.0573603 

boosting 434 : -0.5257026 
boosting mean 434 : -0.4959118 
boosting RMSE 434 : 0.1564708 

forest 434 : -0.4315962 
forest mean 434 : -0.3596256 
forest RMSE 434 : 0.06349611 

nnet 434 : -0.4426226 
nnet mean 434 : -0.4239703 
nnet RMSE 434 : 0.1470434 


s: 435 
logit 435 : -0.4983687 
logit mean 435 : -0.4011976 
logit RMSE 435 : 0.05748813 

boosting 435 : -0.4237334 
boosting mean 435 : -0.4957459 
boosting RMSE 435 : 0.1562950 

forest 435 : -0.4056667 
forest mean 435 : -0.3597314 
forest RMSE 435 : 0.06342367 

nnet 435 : -0.389176 
nnet mean 435 : -0.4238903 
nnet RMSE 435 : 0.1468752 


s: 436 
logit 436 : -0.3996586 
logit mean 436 : -0.4011941 
logit RMSE 436 : 0.05742217 

boosting 436 : -0.4632534 
boosting mean 436 : -0.4956713 
boosting RMSE 436 : 0.1561451 

forest 436 : -0.3379841 
forest mean 436 : -0.3596815 
forest RMSE 436 : 0.06342048 

nnet 436 : -0.2803627 
nnet mean 436 : -0.4235611 
nnet RMSE 436 : 0.1468185 


s: 437 
logit 437 : -0.4628851 
logit mean 437 : -0.4013352 
logit RMSE 437 : 0.05743526 

boosting 437 : -0.5551227 
boosting mean 437 : -0.4958074 
boosting RMSE 437 : 0.1561427 

forest 437 : -0.3762431 
forest mean 437 : -0.3597194 
forest RMSE 437 : 0.06335806 

nnet 437 : -0.345525 
nnet mean 437 : -0.4233825 
nnet RMSE 437 : 0.1466736 


s: 438 
logit 438 : -0.3934176 
logit mean 438 : -0.4013172 
logit RMSE 438 : 0.05737052 

boosting 438 : -0.5193351 
boosting mean 438 : -0.4958611 
boosting RMSE 438 : 0.1560686 

forest 438 : -0.4175487 
forest mean 438 : -0.3598515 
forest RMSE 438 : 0.06329125 

nnet 438 : -0.4033078 
nnet mean 438 : -0.4233367 
nnet RMSE 438 : 0.1465061 


s: 439 
logit 439 : -0.385504 
logit mean 439 : -0.4012811 
logit RMSE 439 : 0.05730932 

boosting 439 : -0.5161698 
boosting mean 439 : -0.4959074 
boosting RMSE 439 : 0.1559893 

forest 439 : -0.4057692 
forest mean 439 : -0.3599561 
forest RMSE 439 : 0.06321972 

nnet 439 : -0.01489619 
nnet mean 439 : -0.4224063 
nnet RMSE 439 : 0.1474889 


s: 440 
logit 440 : -0.3537586 
logit mean 440 : -0.4011731 
logit RMSE 440 : 0.05728659 

boosting 440 : -0.4865433 
boosting mean 440 : -0.4958861 
boosting RMSE 440 : 0.1558665 

forest 440 : -0.4227719 
forest mean 440 : -0.3600988 
forest RMSE 440 : 0.06315717 

nnet 440 : -0.5633655 
nnet mean 440 : -0.4227267 
nnet RMSE 440 : 0.1475269 


s: 441 
logit 441 : -0.4183052 
logit mean 441 : -0.401212 
logit RMSE 441 : 0.05722824 

boosting 441 : -0.6386555 
boosting mean 441 : -0.4962098 
boosting RMSE 441 : 0.1561040 

forest 441 : -0.3731348 
forest mean 441 : -0.3601284 
forest RMSE 441 : 0.0630985 

nnet 441 : -0.5055916 
nnet mean 441 : -0.4229146 
nnet RMSE 441 : 0.1474453 


s: 442 
logit 442 : -0.4593669 
logit mean 442 : -0.4013436 
logit RMSE 442 : 0.05723317 

boosting 442 : -0.5719153 
boosting mean 442 : -0.4963811 
boosting RMSE 442 : 0.1561415 

forest 442 : -0.4002222 
forest mean 442 : -0.3602191 
forest RMSE 442 : 0.06302708 

nnet 442 : -0.5618028 
nnet mean 442 : -0.4232288 
nnet RMSE 442 : 0.1474794 


s: 443 
logit 443 : -0.4071386 
logit mean 443 : -0.4013566 
logit RMSE 443 : 0.05716954 

boosting 443 : -0.4029325 
boosting mean 443 : -0.4961701 
boosting RMSE 443 : 0.1559653 

forest 443 : -0.3836823 
forest mean 443 : -0.3602721 
forest RMSE 443 : 0.06296068 

nnet 443 : -0.3519903 
nnet mean 443 : -0.423068 
nnet RMSE 443 : 0.1473305 


s: 444 
logit 444 : -0.3750725 
logit mean 444 : -0.4012974 
logit RMSE 444 : 0.05711738 

boosting 444 : -0.4337013 
boosting mean 444 : -0.4960295 
boosting RMSE 444 : 0.1557977 

forest 444 : -0.3368665 
forest mean 444 : -0.3602194 
forest RMSE 444 : 0.06296106 

nnet 444 : -0.5505149 
nnet mean 444 : -0.423355 
nnet RMSE 444 : 0.1473378 


s: 445 
logit 445 : -0.4146913 
logit mean 445 : -0.4013275 
logit RMSE 445 : 0.05705742 

boosting 445 : -0.5409784 
boosting mean 445 : -0.4961305 
boosting RMSE 445 : 0.1557660 

forest 445 : -0.3600981 
forest mean 445 : -0.3602191 
forest RMSE 445 : 0.06291872 

nnet 445 : -0.4537600 
nnet mean 445 : -0.4234234 
nnet RMSE 445 : 0.1471942 


s: 446 
logit 446 : -0.4365197 
logit mean 446 : -0.4014064 
logit RMSE 446 : 0.05701964 

boosting 446 : -0.5748508 
boosting mean 446 : -0.496307 
boosting RMSE 446 : 0.1558114 

forest 446 : -0.4525943 
forest mean 446 : -0.3604262 
forest RMSE 446 : 0.06289747 

nnet 446 : -0.3932251 
nnet mean 446 : -0.4233556 
nnet RMSE 446 : 0.1470294 


s: 447 
logit 447 : -0.3998084 
logit mean 447 : -0.4014029 
logit RMSE 447 : 0.05695583 

boosting 447 : -0.4937116 
boosting mean 447 : -0.4963012 
boosting RMSE 447 : 0.1557001 

forest 447 : -0.395333 
forest mean 447 : -0.3605043 
forest RMSE 447 : 0.06282746 

nnet 447 : -0.4444853 
nnet mean 447 : -0.4234029 
nnet RMSE 447 : 0.1468799 


s: 448 
logit 448 : -0.4625198 
logit mean 448 : -0.4015393 
logit RMSE 448 : 0.05696885 

boosting 448 : -0.6237893 
boosting mean 448 : -0.4965857 
boosting RMSE 448 : 0.1558853 

forest 448 : -0.4683034 
forest mean 448 : -0.3607449 
forest RMSE 448 : 0.06284022 

nnet 448 : -0.5331563 
nnet mean 448 : -0.4236479 
nnet RMSE 448 : 0.1468507 


s: 449 
logit 449 : -0.3683783 
logit mean 449 : -0.4014654 
logit RMSE 449 : 0.05692494 

boosting 449 : -0.728205 
boosting mean 449 : -0.4971016 
boosting RMSE 449 : 0.1564800 

forest 449 : -0.3557533 
forest mean 449 : -0.3607338 
forest RMSE 449 : 0.06280492 

nnet 449 : -0.3822714 
nnet mean 449 : -0.4235557 
nnet RMSE 449 : 0.1466895 


s: 450 
logit 450 : -0.4305974 
logit mean 450 : -0.4015302 
logit RMSE 450 : 0.05687995 

boosting 450 : -0.756091 
boosting mean 450 : -0.4976771 
boosting RMSE 450 : 0.1572048 

forest 450 : -0.4562501 
forest mean 450 : -0.3609461 
forest RMSE 450 : 0.06279111 

nnet 450 : -0.6206138 
nnet mean 450 : -0.4239937 
nnet RMSE 450 : 0.1468950 


s: 451 
logit 451 : -0.4939874 
logit mean 451 : -0.4017352 
logit RMSE 451 : 0.05698896 

boosting 451 : -0.401163 
boosting mean 451 : -0.4974631 
boosting RMSE 451 : 0.1570305 

forest 451 : -0.4052664 
forest mean 451 : -0.3610443 
forest RMSE 451 : 0.06272195 

nnet 451 : -0.6204986 
nnet mean 451 : -0.4244294 
nnet RMSE 451 : 0.1470990 


s: 452 
logit 452 : -0.2496747 
logit mean 452 : -0.4013988 
logit RMSE 452 : 0.05736333 

boosting 452 : -0.4759689 
boosting mean 452 : -0.4974156 
boosting RMSE 452 : 0.1568974 

forest 452 : -0.3616643 
forest mean 452 : -0.3610457 
forest RMSE 452 : 0.06267847 

nnet 452 : -0.3494723 
nnet mean 452 : -0.4242635 
nnet RMSE 452 : 0.1469554 


s: 453 
logit 453 : -0.4251127 
logit mean 453 : -0.4014511 
logit RMSE 453 : 0.05731212 

boosting 453 : -0.6763956 
boosting mean 453 : -0.4978107 
boosting RMSE 453 : 0.1572612 

forest 453 : -0.3038614 
forest mean 453 : -0.3609195 
forest RMSE 453 : 0.06277198 

nnet 453 : -0.4362395 
nnet mean 453 : -0.42429 
nnet RMSE 453 : 0.1468030 


s: 454 
logit 454 : -0.3568264 
logit mean 454 : -0.4013528 
logit RMSE 454 : 0.05728481 

boosting 454 : -0.4475326 
boosting mean 454 : -0.4976999 
boosting RMSE 454 : 0.1571037 

forest 454 : -0.2379266 
forest mean 454 : -0.3606486 
forest RMSE 454 : 0.0631625 

nnet 454 : -0.2148579 
nnet mean 454 : -0.4238287 
nnet RMSE 454 : 0.1468984 


s: 455 
logit 455 : -0.4510264 
logit mean 455 : -0.401462 
logit RMSE 455 : 0.05727181 

boosting 455 : -0.6033604 
boosting mean 455 : -0.4979321 
boosting RMSE 455 : 0.1572203 

forest 455 : -0.3436884 
forest mean 455 : -0.3606113 
forest RMSE 455 : 0.06314826 

nnet 455 : -0.1702578 
nnet mean 455 : -0.4232714 
nnet RMSE 455 : 0.1471316 


s: 456 
logit 456 : -0.3500141 
logit mean 456 : -0.4013492 
logit RMSE 456 : 0.05725685 

boosting 456 : -0.4374842 
boosting mean 456 : -0.4977996 
boosting RMSE 456 : 0.1570577 

forest 456 : -0.3307978 
forest mean 456 : -0.3605459 
forest RMSE 456 : 0.06316217 

nnet 456 : -0.3961225 
nnet mean 456 : -0.4232118 
nnet RMSE 456 : 0.1469703 


s: 457 
logit 457 : -0.40673 
logit mean 457 : -0.4013609 
logit RMSE 457 : 0.05719503 

boosting 457 : -0.5154568 
boosting mean 457 : -0.4978382 
boosting RMSE 457 : 0.1569787 

forest 457 : -0.4227226 
forest mean 457 : -0.3606820 
forest RMSE 457 : 0.06310198 

nnet 457 : -0.3746644 
nnet mean 457 : -0.4231056 
nnet RMSE 457 : 0.1468142 


s: 458 
logit 458 : -0.3647572 
logit mean 458 : -0.401281 
logit RMSE 458 : 0.05715629 

boosting 458 : -0.2695158 
boosting mean 458 : -0.4973397 
boosting RMSE 458 : 0.1569257 

forest 458 : -0.3881104 
forest mean 458 : -0.3607418 
forest RMSE 458 : 0.0630355 

nnet 458 : -0.3563452 
nnet mean 458 : -0.4229598 
nnet RMSE 458 : 0.1466681 


s: 459 
logit 459 : -0.4725153 
logit mean 459 : -0.4014362 
logit RMSE 459 : 0.05719423 

boosting 459 : -0.3939150 
boosting mean 459 : -0.4971144 
boosting RMSE 459 : 0.1567549 

forest 459 : -0.3697555 
forest mean 459 : -0.3607615 
forest RMSE 459 : 0.06298262 

nnet 459 : -0.09538604 
nnet mean 459 : -0.4222462 
nnet RMSE 459 : 0.1471965 


s: 460 
logit 460 : -0.4027248 
logit mean 460 : -0.401439 
logit RMSE 460 : 0.05713217 

boosting 460 : -0.520787 
boosting mean 460 : -0.4971658 
boosting RMSE 460 : 0.1566857 

forest 460 : -0.3296958 
forest mean 460 : -0.3606939 
forest RMSE 460 : 0.06299946 

nnet 460 : -0.3912071 
nnet mean 460 : -0.4221787 
nnet RMSE 460 : 0.1470370 


s: 461 
logit 461 : -0.4131582 
logit mean 461 : -0.4014644 
logit RMSE 461 : 0.05707346 

boosting 461 : -0.5388958 
boosting mean 461 : -0.4972563 
boosting RMSE 461 : 0.1566493 

forest 461 : -0.3358398 
forest mean 461 : -0.36064 
forest RMSE 461 : 0.063002 

nnet 461 : -0.4180433 
nnet mean 461 : -0.4221697 
nnet RMSE 461 : 0.1468798 


s: 462 
logit 462 : -0.4385648 
logit mean 462 : -0.4015447 
logit RMSE 462 : 0.05703989 

boosting 462 : -0.4772194 
boosting mean 462 : -0.497213 
boosting RMSE 462 : 0.1565209 

forest 462 : -0.2659028 
forest mean 462 : -0.360435 
forest RMSE 462 : 0.06324225 

nnet 462 : -0.2203727 
nnet mean 462 : -0.4217329 
nnet RMSE 462 : 0.1469586 


s: 463 
logit 463 : -0.3686478 
logit mean 463 : -0.4014737 
logit RMSE 463 : 0.05699688 

boosting 463 : -0.5154213 
boosting mean 463 : -0.4972523 
boosting RMSE 463 : 0.1564437 

forest 463 : -0.3108105 
forest mean 463 : -0.3603278 
forest RMSE 463 : 0.06330976 

nnet 463 : -0.5191931 
nnet mean 463 : -0.4219434 
nnet RMSE 463 : 0.1469043 


s: 464 
logit 464 : -0.3612688 
logit mean 464 : -0.401387 
logit RMSE 464 : 0.05696382 

boosting 464 : -0.4430021 
boosting mean 464 : -0.4971354 
boosting RMSE 464 : 0.1562878 

forest 464 : -0.312994 
forest mean 464 : -0.3602258 
forest RMSE 464 : 0.06337035 

nnet 464 : -0.6103728 
nnet mean 464 : -0.4223495 
nnet RMSE 464 : 0.1470705 


s: 465 
logit 465 : -0.2926785 
logit mean 465 : -0.4011533 
logit RMSE 465 : 0.05711977 

boosting 465 : -0.4951131 
boosting mean 465 : -0.497131 
boosting RMSE 465 : 0.1561820 

forest 465 : -0.514807 
forest mean 465 : -0.3605582 
forest RMSE 465 : 0.06352567 

nnet 465 : -0.6348412 
nnet mean 465 : -0.4228065 
nnet RMSE 465 : 0.1473154 


s: 466 
logit 466 : -0.4537364 
logit mean 466 : -0.4012661 
logit RMSE 466 : 0.05711272 

boosting 466 : -0.4696644 
boosting mean 466 : -0.4970721 
boosting RMSE 466 : 0.1560477 

forest 466 : -0.3530098 
forest mean 466 : -0.360542 
forest RMSE 466 : 0.0634948 

nnet 466 : -0.8644323 
nnet mean 466 : -0.4237542 
nnet RMSE 466 : 0.1487216 


s: 467 
logit 467 : -0.3414102 
logit mean 467 : -0.4011379 
logit RMSE 467 : 0.05711593 

boosting 467 : -0.4331934 
boosting mean 467 : -0.4969353 
boosting RMSE 467 : 0.1558881 

forest 467 : -0.4081450 
forest mean 467 : -0.3606439 
forest RMSE 467 : 0.0634279 

nnet 467 : -0.3954556 
nnet mean 467 : -0.4236936 
nnet RMSE 467 : 0.1485625 


s: 468 
logit 468 : -0.382934 
logit mean 468 : -0.401099 
logit RMSE 468 : 0.05706033 

boosting 468 : -0.4295309 
boosting mean 468 : -0.4967913 
boosting RMSE 468 : 0.1557274 

forest 468 : -0.3836239 
forest mean 468 : -0.3606931 
forest RMSE 468 : 0.06336462 

nnet 468 : -0.3133276 
nnet mean 468 : -0.4234578 
nnet RMSE 468 : 0.1484577 


s: 469 
logit 469 : -0.4779252 
logit mean 469 : -0.4012628 
logit RMSE 469 : 0.05711292 

boosting 469 : -0.6119429 
boosting mean 469 : -0.4970368 
boosting RMSE 469 : 0.1558689 

forest 469 : -0.2830235 
forest mean 469 : -0.3605274 
forest RMSE 469 : 0.06352708 

nnet 469 : -0.3543749 
nnet mean 469 : -0.4233105 
nnet RMSE 469 : 0.1483143 


s: 470 
logit 470 : -0.4669464 
logit mean 470 : -0.4014026 
logit RMSE 470 : 0.05713564 

boosting 470 : -0.588813 
boosting mean 470 : -0.4972321 
boosting RMSE 470 : 0.1559463 

forest 470 : -0.4135746 
forest mean 470 : -0.3606403 
forest RMSE 470 : 0.06346255 

nnet 470 : -0.586702 
nnet mean 470 : -0.4236581 
nnet RMSE 470 : 0.1484065 


s: 471 
logit 471 : -0.3844486 
logit mean 471 : -0.4013666 
logit RMSE 471 : 0.05707945 

boosting 471 : -0.3620166 
boosting mean 471 : -0.496945 
boosting RMSE 471 : 0.1557905 

forest 471 : -0.3530717 
forest mean 471 : -0.3606242 
forest RMSE 471 : 0.06343202 

nnet 471 : -0.3226342 
nnet mean 471 : -0.4234436 
nnet RMSE 471 : 0.1482918 


s: 472 
logit 472 : -0.3004999 
logit mean 472 : -0.4011529 
logit RMSE 472 : 0.05720259 

boosting 472 : -0.5790427 
boosting mean 472 : -0.4971189 
boosting RMSE 472 : 0.1558435 

forest 472 : -0.3303078 
forest mean 472 : -0.36056 
forest RMSE 472 : 0.06344593 

nnet 472 : -0.3091302 
nnet mean 472 : -0.4232014 
nnet RMSE 472 : 0.1481936 


s: 473 
logit 473 : -0.4490197 
logit mean 473 : -0.4012541 
logit RMSE 473 : 0.05718653 

boosting 473 : -0.506856 
boosting mean 473 : -0.4971395 
boosting RMSE 473 : 0.1557562 

forest 473 : -0.3961909 
forest mean 473 : -0.3606353 
forest RMSE 473 : 0.06337907 

nnet 473 : -0.2500924 
nnet mean 473 : -0.4228355 
nnet RMSE 473 : 0.1481973 


s: 474 
logit 474 : -0.4238711 
logit mean 474 : -0.4013018 
logit RMSE 474 : 0.05713669 

boosting 474 : -0.4737751 
boosting mean 474 : -0.4970902 
boosting RMSE 474 : 0.1556287 

forest 474 : -0.3683178 
forest mean 474 : -0.3606515 
forest RMSE 474 : 0.0633289 

nnet 474 : -0.6487216 
nnet mean 474 : -0.423312 
nnet RMSE 474 : 0.1484810 


s: 475 
logit 475 : -0.3844273 
logit mean 475 : -0.4012663 
logit RMSE 475 : 0.05708099 

boosting 475 : -0.7946969 
boosting mean 475 : -0.4977168 
boosting RMSE 475 : 0.156516 

forest 475 : -0.3523567 
forest mean 475 : -0.3606341 
forest RMSE 475 : 0.06329996 

nnet 475 : -0.3777211 
nnet mean 475 : -0.423216 
nnet RMSE 475 : 0.1483282 


s: 476 
logit 476 : -0.411306 
logit mean 476 : -0.4012874 
logit RMSE 476 : 0.05702335 

boosting 476 : -0.508344 
boosting mean 476 : -0.4977391 
boosting RMSE 476 : 0.1564304 

forest 476 : -0.39027 
forest mean 476 : -0.3606963 
forest RMSE 476 : 0.06323501 

nnet 476 : -0.6103474 
nnet mean 476 : -0.4236092 
nnet RMSE 476 : 0.1484856 


s: 477 
logit 477 : -0.4797965 
logit mean 477 : -0.4014520 
logit RMSE 477 : 0.0570806 

boosting 477 : -0.5420686 
boosting mean 477 : -0.497832 
boosting RMSE 477 : 0.1564016 

forest 477 : -0.3699531 
forest mean 477 : -0.3607158 
forest RMSE 477 : 0.06318367 

nnet 477 : -0.3623769 
nnet mean 477 : -0.4234808 
nnet RMSE 477 : 0.1483399 


s: 478 
logit 478 : -0.3220919 
logit mean 478 : -0.4012859 
logit RMSE 478 : 0.0571321 

boosting 478 : -0.5459077 
boosting mean 478 : -0.4979326 
boosting RMSE 478 : 0.1563804 

forest 478 : -0.3724987 
forest mean 478 : -0.3607404 
forest RMSE 478 : 0.06313008 

nnet 478 : -0.5152295 
nnet mean 478 : -0.4236727 
nnet RMSE 478 : 0.1482783 


s: 479 
logit 479 : -0.3717067 
logit mean 479 : -0.4012242 
logit RMSE 479 : 0.05708707 

boosting 479 : -0.4721796 
boosting mean 479 : -0.4978788 
boosting RMSE 479 : 0.1562519 

forest 479 : -0.3810569 
forest mean 479 : -0.3607828 
forest RMSE 479 : 0.06307008 

nnet 479 : -0.6635718 
nnet mean 479 : -0.4241736 
nnet RMSE 479 : 0.1486122 


s: 480 
logit 480 : -0.3667483 
logit mean 480 : -0.4011524 
logit RMSE 480 : 0.05704777 

boosting 480 : -0.3891040 
boosting mean 480 : -0.4976522 
boosting RMSE 480 : 0.1560898 

forest 480 : -0.3308902 
forest mean 480 : -0.3607205 
forest RMSE 480 : 0.06308327 

nnet 480 : -0.1852699 
nnet mean 480 : -0.4236758 
nnet RMSE 480 : 0.1487805 


s: 481 
logit 481 : -0.3418459 
logit mean 481 : -0.4010291 
logit RMSE 481 : 0.05705009 

boosting 481 : -0.6982843 
boosting mean 481 : -0.4980693 
boosting RMSE 481 : 0.1565195 

forest 481 : -0.4242965 
forest mean 481 : -0.3608527 
forest RMSE 481 : 0.0630274 

nnet 481 : -0.3986146 
nnet mean 481 : -0.4236237 
nnet RMSE 481 : 0.1486258 


s: 482 
logit 482 : -0.3350438 
logit mean 482 : -0.4008922 
logit RMSE 482 : 0.05706763 

boosting 482 : -0.3827041 
boosting mean 482 : -0.49783 
boosting RMSE 482 : 0.1563591 

forest 482 : -0.2798707 
forest mean 482 : -0.3606847 
forest RMSE 482 : 0.06319929 

nnet 482 : -0.3531705 
nnet mean 482 : -0.4234776 
nnet RMSE 482 : 0.1484869 


s: 483 
logit 483 : -0.4805373 
logit mean 483 : -0.4010571 
logit RMSE 483 : 0.05712618 

boosting 483 : -0.6636555 
boosting mean 483 : -0.4981733 
boosting RMSE 483 : 0.1566571 

forest 483 : -0.3415926 
forest mean 483 : -0.3606452 
forest RMSE 483 : 0.06318975 

nnet 483 : -0.4182535 
nnet mean 483 : -0.4234668 
nnet RMSE 483 : 0.1483354 


s: 484 
logit 484 : -0.4779071 
logit mean 484 : -0.4012158 
logit RMSE 484 : 0.0571769 

boosting 484 : -0.7338273 
boosting mean 484 : -0.4986602 
boosting RMSE 484 : 0.1572291 

forest 484 : -0.3875167 
forest mean 484 : -0.3607007 
forest RMSE 484 : 0.06312699 

nnet 484 : -0.3718475 
nnet mean 484 : -0.4233601 
nnet RMSE 484 : 0.1481876 


s: 485 
logit 485 : -0.3295516 
logit mean 485 : -0.4010681 
logit RMSE 485 : 0.05720743 

boosting 485 : -0.3865797 
boosting mean 485 : -0.4984291 
boosting RMSE 485 : 0.1570682 

forest 485 : -0.3955033 
forest mean 485 : -0.3607725 
forest RMSE 485 : 0.0630622 

nnet 485 : -0.359773 
nnet mean 485 : -0.423229 
nnet RMSE 485 : 0.1480460 


s: 486 
logit 486 : -0.3523511 
logit mean 486 : -0.4009678 
logit RMSE 486 : 0.05718941 

boosting 486 : -0.4506445 
boosting mean 486 : -0.4983308 
boosting RMSE 486 : 0.1569233 

forest 486 : -0.3000060 
forest mean 486 : -0.3606474 
forest RMSE 486 : 0.06316037 

nnet 486 : -0.4583183 
nnet mean 486 : -0.4233012 
nnet RMSE 486 : 0.1479173 


s: 487 
logit 487 : -0.3369365 
logit mean 487 : -0.4008364 
logit RMSE 487 : 0.05720209 

boosting 487 : -0.4337767 
boosting mean 487 : -0.4981982 
boosting RMSE 487 : 0.1567696 

forest 487 : -0.375889 
forest mean 487 : -0.3606787 
forest RMSE 487 : 0.06310495 

nnet 487 : -0.4684885 
nnet mean 487 : -0.423394 
nnet RMSE 487 : 0.1477979 


s: 488 
logit 488 : -0.4146861 
logit mean 488 : -0.4008647 
logit RMSE 488 : 0.05714731 

boosting 488 : -0.6643825 
boosting mean 488 : -0.4985388 
boosting RMSE 488 : 0.1570655 

forest 488 : -0.4267782 
forest mean 488 : -0.3608142 
forest RMSE 488 : 0.06305191 

nnet 488 : -0.3164108 
nnet mean 488 : -0.4231748 
nnet RMSE 488 : 0.1476949 


s: 489 
logit 489 : -0.3426238 
logit mean 489 : -0.4007456 
logit RMSE 489 : 0.05714778 

boosting 489 : -0.4976961 
boosting mean 489 : -0.4985371 
boosting RMSE 489 : 0.156967 

forest 489 : -0.3196283 
forest mean 489 : -0.3607299 
forest RMSE 489 : 0.06309218 

nnet 489 : -0.5305256 
nnet mean 489 : -0.4233943 
nnet RMSE 489 : 0.1476618 


s: 490 
logit 490 : -0.3443583 
logit mean 490 : -0.4006306 
logit RMSE 490 : 0.05714475 

boosting 490 : -0.48709 
boosting mean 490 : -0.4985137 
boosting RMSE 490 : 0.1568561 

forest 490 : -0.5177405 
forest mean 490 : -0.3610504 
forest RMSE 490 : 0.06325181 

nnet 490 : -0.3964264 
nnet mean 490 : -0.4233393 
nnet RMSE 490 : 0.1475112 


s: 491 
logit 491 : -0.4907357 
logit mean 491 : -0.4008141 
logit RMSE 491 : 0.0572332 

boosting 491 : -0.4362743 
boosting mean 491 : -0.4983869 
boosting RMSE 491 : 0.1567048 

forest 491 : -0.3781403 
forest mean 491 : -0.3610852 
forest RMSE 491 : 0.06319507 

nnet 491 : -0.1370114 
nnet mean 491 : -0.4227561 
nnet RMSE 491 : 0.1478380 


s: 492 
logit 492 : -0.4002288 
logit mean 492 : -0.4008129 
logit RMSE 492 : 0.05717501 

boosting 492 : -0.4970519 
boosting mean 492 : -0.4983842 
boosting RMSE 492 : 0.1566066 

forest 492 : -0.3555668 
forest mean 492 : -0.3610740 
forest RMSE 492 : 0.06316258 

nnet 492 : -0.5146741 
nnet mean 492 : -0.4229429 
nnet RMSE 492 : 0.1477782 


s: 493 
logit 493 : -0.4842963 
logit mean 493 : -0.4009822 
logit RMSE 493 : 0.05724303 

boosting 493 : -0.2845422 
boosting mean 493 : -0.4979505 
boosting RMSE 493 : 0.1565341 

forest 493 : -0.3326174 
forest mean 493 : -0.3610162 
forest RMSE 493 : 0.06317143 

nnet 493 : -0.2965651 
nnet mean 493 : -0.4226866 
nnet RMSE 493 : 0.1477017 


s: 494 
logit 494 : -0.4411089 
logit mean 494 : -0.4010634 
logit RMSE 494 : 0.05721497 

boosting 494 : -0.6190999 
boosting mean 494 : -0.4981957 
boosting RMSE 494 : 0.156686 

forest 494 : -0.3839534 
forest mean 494 : -0.3610627 
forest RMSE 494 : 0.06311159 

nnet 494 : -0.7693491 
nnet mean 494 : -0.4233883 
nnet RMSE 494 : 0.1484850 


s: 495 
logit 495 : -0.3192346 
logit mean 495 : -0.4008981 
logit RMSE 495 : 0.0572723 

boosting 495 : -0.5149618 
boosting mean 495 : -0.4982296 
boosting RMSE 495 : 0.1566129 

forest 495 : -0.3732925 
forest mean 495 : -0.3610874 
forest RMSE 495 : 0.06305923 

nnet 495 : -0.3584118 
nnet mean 495 : -0.4232571 
nnet RMSE 495 : 0.1483467 


s: 496 
logit 496 : -0.4935175 
logit mean 496 : -0.4010849 
logit RMSE 496 : 0.05736842 

boosting 496 : -0.4750309 
boosting mean 496 : -0.4981828 
boosting RMSE 496 : 0.1564912 

forest 496 : -0.4238869 
forest mean 496 : -0.361214 
forest RMSE 496 : 0.06300476 

nnet 496 : -0.5066375 
nnet mean 496 : -0.4234252 
nnet RMSE 496 : 0.1482744 


s: 497 
logit 497 : -0.4393191 
logit mean 497 : -0.4011618 
logit RMSE 497 : 0.05733781 

boosting 497 : -0.7414186 
boosting mean 497 : -0.4986722 
boosting RMSE 497 : 0.1570821 

forest 497 : -0.3601798 
forest mean 497 : -0.3612119 
forest RMSE 497 : 0.06296669 

nnet 497 : -0.7001437 
nnet mean 497 : -0.4239819 
nnet RMSE 497 : 0.1487357 


s: 498 
logit 498 : -0.427416 
logit mean 498 : -0.4012145 
logit RMSE 498 : 0.05729339 

boosting 498 : -0.604173 
boosting mean 498 : -0.4988841 
boosting RMSE 498 : 0.1571908 

forest 498 : -0.3890982 
forest mean 498 : -0.3612679 
forest RMSE 498 : 0.06290533 

nnet 498 : -0.4486339 
nnet mean 498 : -0.4240314 
nnet RMSE 498 : 0.1486023 


s: 499 
logit 499 : -0.426037 
logit mean 499 : -0.4012643 
logit RMSE 499 : 0.05724782 

boosting 499 : -0.5124749 
boosting mean 499 : -0.4989113 
boosting RMSE 499 : 0.1571139 

forest 499 : -0.4458285 
forest mean 499 : -0.3614374 
forest RMSE 499 : 0.06287575 

nnet 499 : -0.432088 
nnet mean 499 : -0.4240476 
nnet RMSE 499 : 0.1484603 


s: 500 
logit 500 : -0.4542506 
logit mean 500 : -0.4013702 
logit RMSE 500 : 0.05724198 

boosting 500 : -0.6559374 
boosting mean 500 : -0.4992253 
boosting RMSE 500 : 0.1573735 

forest 500 : -0.4089751 
forest mean 500 : -0.3615324 
forest RMSE 500 : 0.06281412 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 500 : -0.2152833 
nnet mean 500 : -0.4236301 
nnet RMSE 500 : 0.1485416 


s: 501 
logit 501 : -0.3882211 
logit mean 501 : -0.401344 
logit RMSE 501 : 0.05718724 

boosting 501 : -0.4573706 
boosting mean 501 : -0.4991418 
boosting RMSE 501 : 0.1572372 

forest 501 : -0.3752488 
forest mean 501 : -0.3615598 
forest RMSE 501 : 0.06276114 

nnet 501 : -0.3643901 
nnet mean 501 : -0.4235118 
nnet RMSE 501 : 0.1484019 


s: 502 
logit 502 : -0.4894551 
logit mean 502 : -0.4015195 
logit RMSE 502 : 0.0572696 

boosting 502 : -0.6124388 
boosting mean 502 : -0.4993675 
boosting RMSE 502 : 0.1573664 

forest 502 : -0.4183837 
forest mean 502 : -0.361673 
forest RMSE 502 : 0.06270397 

nnet 502 : -0.7978073 
nnet mean 502 : -0.4242574 
nnet RMSE 502 : 0.1493134 


s: 503 
logit 503 : -0.3455557 
logit mean 503 : -0.4014082 
logit RMSE 503 : 0.05726412 

boosting 503 : -0.4749581 
boosting mean 503 : -0.499319 
boosting RMSE 503 : 0.1572454 

forest 503 : -0.3779415 
forest mean 503 : -0.3617054 
forest RMSE 503 : 0.06264933 

nnet 503 : -0.5584144 
nnet mean 503 : -0.4245241 
nnet RMSE 503 : 0.149332 


s: 504 
logit 504 : -0.448667 
logit mean 504 : -0.401502 
logit RMSE 504 : 0.05724834 

boosting 504 : -0.5324348 
boosting mean 504 : -0.4993847 
boosting RMSE 504 : 0.1572001 

forest 504 : -0.3163050 
forest mean 504 : -0.3616153 
forest RMSE 504 : 0.06269808 

nnet 504 : -0.4598612 
nnet mean 504 : -0.4245943 
nnet RMSE 504 : 0.1492076 


s: 505 
logit 505 : -0.4757283 
logit mean 505 : -0.401649 
logit RMSE 505 : 0.05729083 

boosting 505 : -0.4963615 
boosting mean 505 : -0.4993787 
boosting RMSE 505 : 0.1571029 

forest 505 : -0.3224294 
forest mean 505 : -0.3615377 
forest RMSE 505 : 0.06273102 

nnet 505 : -0.3379575 
nnet mean 505 : -0.4244227 
nnet RMSE 505 : 0.1490854 


s: 506 
logit 506 : -0.414236 
logit mean 506 : -0.4016739 
logit RMSE 506 : 0.05723768 

boosting 506 : -0.4497983 
boosting mean 506 : -0.4992807 
boosting RMSE 506 : 0.1569632 

forest 506 : -0.3984771 
forest mean 506 : -0.3616107 
forest RMSE 506 : 0.06266904 

nnet 506 : -0.7702905 
nnet mean 506 : -0.4251062 
nnet RMSE 506 : 0.1498449 


s: 507 
logit 507 : -0.4095298 
logit mean 507 : -0.4016894 
logit RMSE 507 : 0.05718278 

boosting 507 : -0.3988645 
boosting mean 507 : -0.4990826 
boosting RMSE 507 : 0.1568083 

forest 507 : -0.4636447 
forest mean 507 : -0.3618119 
forest RMSE 507 : 0.06267098 

nnet 507 : -0.5656739 
nnet mean 507 : -0.4253835 
nnet RMSE 507 : 0.1498778 


s: 508 
logit 508 : -0.3377049 
logit mean 508 : -0.4015634 
logit RMSE 508 : 0.05719329 

boosting 508 : -0.4823009 
boosting mean 508 : -0.4990496 
boosting RMSE 508 : 0.1566965 

forest 508 : -0.2637641 
forest mean 508 : -0.3616189 
forest RMSE 508 : 0.06290036 

nnet 508 : -0.515333 
nnet mean 508 : -0.4255606 
nnet RMSE 508 : 0.1498176 


s: 509 
logit 509 : -0.377248 
logit mean 509 : -0.4015156 
logit RMSE 509 : 0.05714598 

boosting 509 : -0.3977539 
boosting mean 509 : -0.4988506 
boosting RMSE 509 : 0.1565425 

forest 509 : -0.3104965 
forest mean 509 : -0.3615185 
forest RMSE 509 : 0.06296365 

nnet 509 : -0.5594023 
nnet mean 509 : -0.4258235 
nnet RMSE 509 : 0.1498370 


s: 510 
logit 510 : -0.4678336 
logit mean 510 : -0.4016457 
logit RMSE 510 : 0.05716889 

boosting 510 : -0.3335092 
boosting mean 510 : -0.4985264 
boosting RMSE 510 : 0.1564167 

forest 510 : -0.3616685 
forest mean 510 : -0.3615188 
forest RMSE 510 : 0.06292478 

nnet 510 : -0.3681509 
nnet mean 510 : -0.4257104 
nnet RMSE 510 : 0.1496967 


s: 511 
logit 511 : -0.3599584 
logit mean 511 : -0.4015641 
logit RMSE 511 : 0.05714038 

boosting 511 : -0.4112194 
boosting mean 511 : -0.4983555 
boosting RMSE 511 : 0.1562643 

forest 511 : -0.4153638 
forest mean 511 : -0.3616242 
forest RMSE 511 : 0.06286686 

nnet 511 : -0.4789318 
nnet mean 511 : -0.4258146 
nnet RMSE 511 : 0.1495909 


s: 512 
logit 512 : -0.4009211 
logit mean 512 : -0.4015628 
logit RMSE 512 : 0.05708457 

boosting 512 : -0.5457376 
boosting mean 512 : -0.4984481 
boosting RMSE 512 : 0.1562445 

forest 512 : -0.2939893 
forest mean 512 : -0.3614921 
forest RMSE 512 : 0.06297994 

nnet 512 : -0.1476401 
nnet mean 512 : -0.4252713 
nnet RMSE 512 : 0.1498604 


s: 513 
logit 513 : -0.4135697 
logit mean 513 : -0.4015862 
logit RMSE 513 : 0.05703205 

boosting 513 : -0.443753 
boosting mean 513 : -0.4983415 
boosting RMSE 513 : 0.1561041 

forest 513 : -0.3576812 
forest mean 513 : -0.3614846 
forest RMSE 513 : 0.06294626 

nnet 513 : -0.2801722 
nnet mean 513 : -0.4249884 
nnet RMSE 513 : 0.1498077 


s: 514 
logit 514 : -0.4210018 
logit mean 514 : -0.401624 
logit RMSE 514 : 0.05698408 

boosting 514 : -0.4733949 
boosting mean 514 : -0.4982929 
boosting RMSE 514 : 0.1559857 

forest 514 : -0.3994448 
forest mean 514 : -0.3615585 
forest RMSE 514 : 0.062885 

nnet 514 : -0.4378475 
nnet mean 514 : -0.4250134 
nnet RMSE 514 : 0.1496712 


s: 515 
logit 515 : -0.2814227 
logit mean 515 : -0.4013906 
logit RMSE 515 : 0.05716801 

boosting 515 : -0.3548035 
boosting mean 515 : -0.4980143 
boosting RMSE 515 : 0.1558469 

forest 515 : -0.3425037 
forest mean 515 : -0.3615215 
forest RMSE 515 : 0.06287499 

nnet 515 : -0.5402146 
nnet mean 515 : -0.4252371 
nnet RMSE 515 : 0.1496534 


s: 516 
logit 516 : -0.2855408 
logit mean 516 : -0.4011661 
logit RMSE 516 : 0.05733444 

boosting 516 : -0.43164 
boosting mean 516 : -0.4978857 
boosting RMSE 516 : 0.1557021 

forest 516 : -0.3526978 
forest mean 516 : -0.3615044 
forest RMSE 516 : 0.06284854 

nnet 516 : -0.2850253 
nnet mean 516 : -0.4249654 
nnet RMSE 516 : 0.1495940 


s: 517 
logit 517 : -0.3724681 
logit mean 517 : -0.4011106 
logit RMSE 517 : 0.05729176 

boosting 517 : -0.5826154 
boosting mean 517 : -0.4980496 
boosting RMSE 517 : 0.1557586 

forest 517 : -0.3429862 
forest mean 517 : -0.3614686 
forest RMSE 517 : 0.06283778 

nnet 517 : -0.4293296 
nnet mean 517 : -0.4249738 
nnet RMSE 517 : 0.1494548 


s: 518 
logit 518 : -0.401164 
logit mean 518 : -0.4011107 
logit RMSE 518 : 0.05723645 

boosting 518 : -0.6042187 
boosting mean 518 : -0.4982545 
boosting RMSE 518 : 0.1558667 

forest 518 : -0.3471119 
forest mean 518 : -0.3614408 
forest RMSE 518 : 0.06282009 

nnet 518 : -0.5572327 
nnet mean 518 : -0.4252292 
nnet RMSE 518 : 0.1494702 


s: 519 
logit 519 : -0.3718543 
logit mean 519 : -0.4010543 
logit RMSE 519 : 0.05719463 

boosting 519 : -0.4118597 
boosting mean 519 : -0.4980881 
boosting RMSE 519 : 0.1557173 

forest 519 : -0.3284174 
forest mean 519 : -0.3613772 
forest RMSE 519 : 0.06283814 

nnet 519 : -0.477602 
nnet mean 519 : -0.4253301 
nnet RMSE 519 : 0.1493650 


s: 520 
logit 520 : -0.4180485 
logit mean 520 : -0.401087 
logit RMSE 520 : 0.05714509 

boosting 520 : -0.6142542 
boosting mean 520 : -0.4983115 
boosting RMSE 520 : 0.155851 

forest 520 : -0.367605 
forest mean 520 : -0.3613892 
forest RMSE 520 : 0.06279377 

nnet 520 : -0.5846661 
nnet mean 520 : -0.4256365 
nnet RMSE 520 : 0.1494409 


s: 521 
logit 521 : -0.4077106 
logit mean 521 : -0.4010997 
logit RMSE 521 : 0.05709122 

boosting 521 : -0.4917572 
boosting mean 521 : -0.4982989 
boosting RMSE 521 : 0.1557532 

forest 521 : -0.4068425 
forest mean 521 : -0.3614764 
forest RMSE 521 : 0.06273419 

nnet 521 : -0.650445 
nnet mean 521 : -0.426068 
nnet RMSE 521 : 0.1497 


s: 522 
logit 522 : -0.4471304 
logit mean 522 : -0.4011879 
logit RMSE 522 : 0.0570738 

boosting 522 : -0.6139163 
boosting mean 522 : -0.4985204 
boosting RMSE 522 : 0.1558854 

forest 522 : -0.3976884 
forest mean 522 : -0.3615458 
forest RMSE 522 : 0.06267415 

nnet 522 : -0.2441677 
nnet mean 522 : -0.4257195 
nnet RMSE 522 : 0.149712 


s: 523 
logit 523 : -0.3314365 
logit mean 523 : -0.4010545 
logit RMSE 523 : 0.05709798 

boosting 523 : -0.3848631 
boosting mean 523 : -0.4983031 
boosting RMSE 523 : 0.1557377 

forest 523 : -0.2969401 
forest mean 523 : -0.3614223 
forest RMSE 523 : 0.06277617 

nnet 523 : -0.7344761 
nnet mean 523 : -0.4263099 
nnet RMSE 523 : 0.1502822 


s: 524 
logit 524 : -0.371847 
logit mean 524 : -0.4009988 
logit RMSE 524 : 0.05705672 

boosting 524 : -0.4327857 
boosting mean 524 : -0.498178 
boosting RMSE 524 : 0.1555956 

forest 524 : -0.3980483 
forest mean 524 : -0.3614922 
forest RMSE 524 : 0.0627163 

nnet 524 : -0.4086045 
nnet mean 524 : -0.4262761 
nnet RMSE 524 : 0.1501392 


s: 525 
logit 525 : -0.4408547 
logit mean 525 : -0.4010747 
logit RMSE 525 : 0.05703024 

boosting 525 : -0.6229906 
boosting mean 525 : -0.4984158 
boosting RMSE 525 : 0.1557517 

forest 525 : -0.3957909 
forest mean 525 : -0.3615575 
forest RMSE 525 : 0.06265681 

nnet 525 : -0.4600325 
nnet mean 525 : -0.4263404 
nnet RMSE 525 : 0.1500190 


s: 526 
logit 526 : -0.3921087 
logit mean 526 : -0.4010577 
logit RMSE 526 : 0.05697704 

boosting 526 : -0.4959516 
boosting mean 526 : -0.4984111 
boosting RMSE 526 : 0.1556598 

forest 526 : -0.4607877 
forest mean 526 : -0.3617462 
forest RMSE 526 : 0.06265331 

nnet 526 : -0.4633904 
nnet mean 526 : -0.4264108 
nnet RMSE 526 : 0.1499018 


s: 527 
logit 527 : -0.3363906 
logit mean 527 : -0.400935 
logit RMSE 527 : 0.05699036 

boosting 527 : -0.511477 
boosting mean 527 : -0.4984359 
boosting RMSE 527 : 0.1555879 

forest 527 : -0.3109563 
forest mean 527 : -0.3616498 
forest RMSE 527 : 0.0627139 

nnet 527 : -0.484229 
nnet mean 527 : -0.4265205 
nnet RMSE 527 : 0.1498045 


s: 528 
logit 528 : -0.3911477 
logit mean 528 : -0.4009164 
logit RMSE 528 : 0.05693767 

boosting 528 : -0.599359 
boosting mean 528 : -0.498627 
boosting RMSE 528 : 0.1556824 

forest 528 : -0.3451872 
forest mean 528 : -0.3616186 
forest RMSE 528 : 0.06269988 

nnet 528 : -0.3836328 
nnet mean 528 : -0.4264393 
nnet RMSE 528 : 0.1496642 


s: 529 
logit 529 : -0.4080641 
logit mean 529 : -0.4009299 
logit RMSE 529 : 0.0568849 

boosting 529 : -0.5449976 
boosting mean 529 : -0.4987147 
boosting RMSE 529 : 0.1556629 

forest 529 : -0.3671329 
forest mean 529 : -0.361629 
forest RMSE 529 : 0.06265688 

nnet 529 : -0.4069703 
nnet mean 529 : -0.4264025 
nnet RMSE 529 : 0.1495230 


s: 530 
logit 530 : -0.3722946 
logit mean 530 : -0.4008759 
logit RMSE 530 : 0.05684395 

boosting 530 : -0.4451608 
boosting mean 530 : -0.4986136 
boosting RMSE 530 : 0.1555284 

forest 530 : -0.4755542 
forest mean 530 : -0.361844 
forest RMSE 530 : 0.06268372 

nnet 530 : -0.7160652 
nnet mean 530 : -0.426949 
nnet RMSE 530 : 0.1500115 


s: 531 
logit 531 : -0.389548 
logit mean 531 : -0.4008546 
logit RMSE 531 : 0.05679222 

boosting 531 : -0.4727962 
boosting mean 531 : -0.498565 
boosting RMSE 531 : 0.1554140 

forest 531 : -0.4227275 
forest mean 531 : -0.3619586 
forest RMSE 531 : 0.06263243 

nnet 531 : -0.4895655 
nnet mean 531 : -0.427067 
nnet RMSE 531 : 0.1499205 


s: 532 
logit 532 : -0.3575715 
logit mean 532 : -0.4007732 
logit RMSE 532 : 0.05676863 

boosting 532 : -0.4029793 
boosting mean 532 : -0.4983853 
boosting RMSE 532 : 0.1552679 

forest 532 : -0.4609102 
forest mean 532 : -0.3621446 
forest RMSE 532 : 0.06262924 

nnet 532 : -0.5805334 
nnet mean 532 : -0.4273554 
nnet RMSE 532 : 0.1499839 


s: 533 
logit 533 : -0.2442956 
logit mean 533 : -0.4004796 
logit RMSE 533 : 0.05711494 

boosting 533 : -0.4712232 
boosting mean 533 : -0.4983344 
boosting RMSE 533 : 0.1551528 

forest 533 : -0.3106462 
forest mean 533 : -0.362048 
forest RMSE 533 : 0.06269005 

nnet 533 : -0.6148791 
nnet mean 533 : -0.4277073 
nnet RMSE 533 : 0.1501320 


s: 534 
logit 534 : -0.3815654 
logit mean 534 : -0.4004442 
logit RMSE 534 : 0.05706701 

boosting 534 : -0.635829 
boosting mean 534 : -0.4985919 
boosting RMSE 534 : 0.1553431 

forest 534 : -0.3523795 
forest mean 534 : -0.3620299 
forest RMSE 534 : 0.06266521 

nnet 534 : -0.3789370 
nnet mean 534 : -0.4276159 
nnet RMSE 534 : 0.1499941 


s: 535 
logit 535 : -0.464725 
logit mean 535 : -0.4005644 
logit RMSE 535 : 0.05708228 

boosting 535 : -0.2940385 
boosting mean 535 : -0.4982095 
boosting RMSE 535 : 0.1552654 

forest 535 : -0.3914054 
forest mean 535 : -0.3620848 
forest RMSE 535 : 0.06260772 

nnet 535 : -0.1057845 
nnet mean 535 : -0.4270144 
nnet RMSE 535 : 0.1503927 


s: 536 
logit 536 : -0.3780494 
logit mean 536 : -0.4005224 
logit RMSE 536 : 0.05703689 

boosting 536 : -0.5511422 
boosting mean 536 : -0.4983083 
boosting RMSE 536 : 0.1552578 

forest 536 : -0.3285570 
forest mean 536 : -0.3620223 
forest RMSE 536 : 0.06262537 

nnet 536 : -0.4878203 
nnet mean 536 : -0.4271278 
nnet RMSE 536 : 0.1503002 


s: 537 
logit 537 : -0.4825868 
logit mean 537 : -0.4006752 
logit RMSE 537 : 0.0570951 

boosting 537 : -0.3931821 
boosting mean 537 : -0.4981125 
boosting RMSE 537 : 0.1551135 

forest 537 : -0.3475919 
forest mean 537 : -0.3619954 
forest RMSE 537 : 0.06260789 

nnet 537 : -0.2268571 
nnet mean 537 : -0.4267549 
nnet RMSE 537 : 0.150346 


s: 538 
logit 538 : -0.4887748 
logit mean 538 : -0.4008389 
logit RMSE 538 : 0.05717027 

boosting 538 : -0.4230769 
boosting mean 538 : -0.497973 
boosting RMSE 538 : 0.1549724 

forest 538 : -0.3849395 
forest mean 538 : -0.3620380 
forest RMSE 538 : 0.06255305 

nnet 538 : -0.5074578 
nnet mean 538 : -0.4269049 
nnet RMSE 538 : 0.1502776 


s: 539 
logit 539 : -0.4197042 
logit mean 539 : -0.4008739 
logit RMSE 539 : 0.05712352 

boosting 539 : -0.4365474 
boosting mean 539 : -0.4978591 
boosting RMSE 539 : 0.1548366 

forest 539 : -0.3692097 
forest mean 539 : -0.3620513 
forest RMSE 539 : 0.06250907 

nnet 539 : -0.4610242 
nnet mean 539 : -0.4269682 
nnet RMSE 539 : 0.1501612 


s: 540 
logit 540 : -0.3799752 
logit mean 540 : -0.4008352 
logit RMSE 540 : 0.0570771 

boosting 540 : -0.4528602 
boosting mean 540 : -0.4977757 
boosting RMSE 540 : 0.1547099 

forest 540 : -0.3779304 
forest mean 540 : -0.3620808 
forest RMSE 540 : 0.06245838 

nnet 540 : -0.5902341 
nnet mean 540 : -0.4272705 
nnet RMSE 540 : 0.1502453 


s: 541 
logit 541 : -0.3565871 
logit mean 541 : -0.4007534 
logit RMSE 541 : 0.05705487 

boosting 541 : -0.3526735 
boosting mean 541 : -0.4975075 
boosting RMSE 541 : 0.1545803 

forest 541 : -0.4255648 
forest mean 541 : -0.3621981 
forest RMSE 541 : 0.06241031 

nnet 541 : -0.4988093 
nnet mean 541 : -0.4274028 
nnet RMSE 541 : 0.1501664 


s: 542 
logit 542 : -0.4113656 
logit mean 542 : -0.400773 
logit RMSE 542 : 0.0570043 

boosting 542 : -0.3628626 
boosting mean 542 : -0.4972591 
boosting RMSE 542 : 0.1544458 

forest 542 : -0.2386186 
forest mean 542 : -0.3619701 
forest RMSE 542 : 0.06273684 

nnet 542 : -0.2159994 
nnet mean 542 : -0.4270127 
nnet RMSE 542 : 0.1502359 


s: 543 
logit 543 : -0.408144 
logit mean 543 : -0.4007866 
logit RMSE 543 : 0.05695286 

boosting 543 : -0.4845408 
boosting mean 543 : -0.4972357 
boosting RMSE 543 : 0.1543462 

forest 543 : -0.3293657 
forest mean 543 : -0.3619100 
forest RMSE 543 : 0.0627523 

nnet 543 : -0.43396 
nnet mean 543 : -0.4270255 
nnet RMSE 543 : 0.1501046 


s: 544 
logit 544 : -0.3280434 
logit mean 544 : -0.4006529 
logit RMSE 544 : 0.05698406 

boosting 544 : -0.3792948 
boosting mean 544 : -0.4970189 
boosting RMSE 544 : 0.1542068 

forest 544 : -0.2946759 
forest mean 544 : -0.3617865 
forest RMSE 544 : 0.06285702 

nnet 544 : -0.3468408 
nnet mean 544 : -0.4268781 
nnet RMSE 544 : 0.1499839 


s: 545 
logit 545 : -0.3641856 
logit mean 545 : -0.400586 
logit RMSE 545 : 0.05695242 

boosting 545 : -0.4159969 
boosting mean 545 : -0.4968702 
boosting RMSE 545 : 0.1540668 

forest 545 : -0.2665029 
forest mean 545 : -0.3616116 
forest RMSE 545 : 0.06305914 

nnet 545 : -0.3854278 
nnet mean 545 : -0.4268021 
nnet RMSE 545 : 0.1498475 


s: 546 
logit 546 : -0.4562645 
logit mean 546 : -0.4006879 
logit RMSE 546 : 0.05695117 

boosting 546 : -0.4166174 
boosting mean 546 : -0.4967232 
boosting RMSE 546 : 0.1539273 

forest 546 : -0.3636606 
forest mean 546 : -0.3616154 
forest RMSE 546 : 0.06302056 

nnet 546 : -0.2408942 
nnet mean 546 : -0.4264616 
nnet RMSE 546 : 0.1498650 


s: 547 
logit 547 : -0.4123255 
logit mean 547 : -0.4007092 
logit RMSE 547 : 0.05690153 

boosting 547 : -0.4054454 
boosting mean 547 : -0.4965564 
boosting RMSE 547 : 0.1537867 

forest 547 : -0.3359598 
forest mean 547 : -0.3615685 
forest RMSE 547 : 0.06302244 

nnet 547 : -0.4983509 
nnet mean 547 : -0.426593 
nnet RMSE 547 : 0.1497870 


s: 548 
logit 548 : -0.3689084 
logit mean 548 : -0.4006512 
logit RMSE 548 : 0.0568651 

boosting 548 : -0.4684242 
boosting mean 548 : -0.496505 
boosting RMSE 548 : 0.1536741 

forest 548 : -0.4953107 
forest mean 548 : -0.3618125 
forest RMSE 548 : 0.06309641 

nnet 548 : 0.04678323 
nnet mean 548 : -0.4257292 
nnet RMSE 548 : 0.1508624 


s: 549 
logit 549 : -0.3651458 
logit mean 549 : -0.4005865 
logit RMSE 549 : 0.05683276 

boosting 549 : -0.5269049 
boosting mean 549 : -0.4965604 
boosting RMSE 549 : 0.1536296 

forest 549 : -0.3407959 
forest mean 549 : -0.3617742 
forest RMSE 549 : 0.06308954 

nnet 549 : -0.5354944 
nnet mean 549 : -0.4259291 
nnet RMSE 549 : 0.1508358 


s: 550 
logit 550 : -0.3386072 
logit mean 550 : -0.4004738 
logit RMSE 550 : 0.05684138 

boosting 550 : -0.5719777 
boosting mean 550 : -0.4966975 
boosting RMSE 550 : 0.1536650 

forest 550 : -0.3254167 
forest mean 550 : -0.3617081 
forest RMSE 550 : 0.06311233 

nnet 550 : -0.3766525 
nnet mean 550 : -0.4258395 
nnet RMSE 550 : 0.1507019 


s: 551 
logit 551 : -0.3725266 
logit mean 551 : -0.4004231 
logit RMSE 551 : 0.05680184 

boosting 551 : -0.3539532 
boosting mean 551 : -0.4964385 
boosting RMSE 551 : 0.1535380 

forest 551 : -0.3496024 
forest mean 551 : -0.3616862 
forest RMSE 551 : 0.06309158 

nnet 551 : -0.3430814 
nnet mean 551 : -0.4256893 
nnet RMSE 551 : 0.1505846 


s: 552 
logit 552 : -0.3833274 
logit mean 552 : -0.4003921 
logit RMSE 552 : 0.0567548 

boosting 552 : -0.3952544 
boosting mean 552 : -0.4962551 
boosting RMSE 552 : 0.1533990 

forest 552 : -0.3094781 
forest mean 552 : -0.3615916 
forest RMSE 552 : 0.06315204 

nnet 552 : -0.675601 
nnet mean 552 : -0.4261420 
nnet RMSE 552 : 0.1509048 


s: 553 
logit 553 : -0.47478 
logit mean 553 : -0.4005267 
logit RMSE 553 : 0.05679256 

boosting 553 : -0.6972186 
boosting mean 553 : -0.4966186 
boosting RMSE 553 : 0.1537805 

forest 553 : -0.4078980 
forest mean 553 : -0.3616753 
forest RMSE 553 : 0.06309581 

nnet 553 : -0.5148898 
nnet mean 553 : -0.4263025 
nnet RMSE 553 : 0.1508474 


s: 554 
logit 554 : -0.3825897 
logit mean 554 : -0.4004943 
logit RMSE 554 : 0.0567461 

boosting 554 : -0.4806615 
boosting mean 554 : -0.4965897 
boosting RMSE 554 : 0.1536799 

forest 554 : -0.3872714 
forest mean 554 : -0.3617215 
forest RMSE 554 : 0.06304116 

nnet 554 : -0.3933379 
nnet mean 554 : -0.426243 
nnet RMSE 554 : 0.1507115 


s: 555 
logit 555 : -0.3886537 
logit mean 555 : -0.4004729 
logit RMSE 555 : 0.056697 

boosting 555 : -0.631037 
boosting mean 555 : -0.496832 
boosting RMSE 555 : 0.1538542 

forest 555 : -0.2923067 
forest mean 555 : -0.3615965 
forest RMSE 555 : 0.06315001 

nnet 555 : -0.5554974 
nnet mean 555 : -0.4264759 
nnet RMSE 555 : 0.1507202 


s: 556 
logit 556 : -0.3738659 
logit mean 556 : -0.4004251 
logit RMSE 556 : 0.05665683 

boosting 556 : -0.4558422 
boosting mean 556 : -0.4967583 
boosting RMSE 556 : 0.1537340 

forest 556 : -0.3097946 
forest mean 556 : -0.3615033 
forest RMSE 556 : 0.06320907 

nnet 556 : -0.3882527 
nnet mean 556 : -0.4264072 
nnet RMSE 556 : 0.1505854 


s: 557 
logit 557 : -0.3831175 
logit mean 557 : -0.400394 
logit RMSE 557 : 0.05661047 

boosting 557 : -0.5396912 
boosting mean 557 : -0.4968354 
boosting RMSE 557 : 0.1537100 

forest 557 : -0.3205151 
forest mean 557 : -0.3614297 
forest RMSE 557 : 0.06324205 

nnet 557 : -0.4823735 
nnet mean 557 : -0.4265077 
nnet RMSE 557 : 0.1504907 


s: 558 
logit 558 : -0.3810804 
logit mean 558 : -0.4003594 
logit RMSE 558 : 0.05656539 

boosting 558 : -0.3960964 
boosting mean 558 : -0.4966548 
boosting RMSE 558 : 0.1535723 

forest 558 : -0.3194206 
forest mean 558 : -0.3613544 
forest RMSE 558 : 0.06327736 

nnet 558 : -0.5285384 
nnet mean 558 : -0.4266905 
nnet RMSE 558 : 0.1504542 


s: 559 
logit 559 : -0.4397793 
logit mean 559 : -0.4004299 
logit RMSE 559 : 0.05653981 

boosting 559 : -0.5686389 
boosting mean 559 : -0.4967836 
boosting RMSE 559 : 0.1536005 

forest 559 : -0.4142813 
forest mean 559 : -0.3614491 
forest RMSE 559 : 0.06322363 

nnet 559 : -0.6749367 
nnet mean 559 : -0.4271346 
nnet RMSE 559 : 0.1507687 


s: 560 
logit 560 : -0.4433793 
logit mean 560 : -0.4005066 
logit RMSE 560 : 0.05651904 

boosting 560 : -0.5731236 
boosting mean 560 : -0.4969199 
boosting RMSE 560 : 0.1536376 

forest 560 : -0.366595 
forest mean 560 : -0.3614583 
forest RMSE 560 : 0.06318292 

nnet 560 : -0.4810712 
nnet mean 560 : -0.4272309 
nnet RMSE 560 : 0.1506730 


s: 561 
logit 561 : -0.5033388 
logit mean 561 : -0.4006899 
logit RMSE 561 : 0.05663695 

boosting 561 : -0.5331522 
boosting mean 561 : -0.4969845 
boosting RMSE 561 : 0.1536035 

forest 561 : -0.3607254 
forest mean 561 : -0.361457 
forest RMSE 561 : 0.06314836 

nnet 561 : -0.4456818 
nnet mean 561 : -0.4272638 
nnet RMSE 561 : 0.1505510 


s: 562 
logit 562 : -0.3649452 
logit mean 562 : -0.4006263 
logit RMSE 562 : 0.05660585 

boosting 562 : -0.5837826 
boosting mean 562 : -0.4971389 
boosting RMSE 562 : 0.1536625 

forest 562 : -0.3408822 
forest mean 562 : -0.3614204 
forest RMSE 562 : 0.06314142 

nnet 562 : -0.5364461 
nnet mean 562 : -0.4274581 
nnet RMSE 562 : 0.1505270 


s: 563 
logit 563 : -0.4346487 
logit mean 563 : -0.4006867 
logit RMSE 563 : 0.05657441 

boosting 563 : -0.4075469 
boosting mean 563 : -0.4969798 
boosting RMSE 563 : 0.1535263 

forest 563 : -0.3310683 
forest mean 563 : -0.3613665 
forest RMSE 563 : 0.06315217 

nnet 563 : -0.7269821 
nnet mean 563 : -0.4279901 
nnet RMSE 563 : 0.1510233 


s: 564 
logit 564 : -0.4511925 
logit mean 564 : -0.4007763 
logit RMSE 564 : 0.05656532 

boosting 564 : -0.5984283 
boosting mean 564 : -0.4971597 
boosting RMSE 564 : 0.1536175 

forest 564 : -0.3897783 
forest mean 564 : -0.3614168 
forest RMSE 564 : 0.06309763 

nnet 564 : -0.4354677 
nnet mean 564 : -0.4280033 
nnet RMSE 564 : 0.1508968 


s: 565 
logit 565 : -0.3561945 
logit mean 565 : -0.4006974 
logit RMSE 565 : 0.05654528 

boosting 565 : -0.3347731 
boosting mean 565 : -0.4968723 
boosting RMSE 565 : 0.1535060 

forest 565 : -0.3895837 
forest mean 565 : -0.3614667 
forest RMSE 565 : 0.06304329 

nnet 565 : -0.4090445 
nnet mean 565 : -0.4279698 
nnet RMSE 565 : 0.1507637 


s: 566 
logit 566 : -0.3292149 
logit mean 566 : -0.4005711 
logit RMSE 566 : 0.0565736 

boosting 566 : -0.3036701 
boosting mean 566 : -0.4965309 
boosting RMSE 566 : 0.1534238 

forest 566 : -0.3992714 
forest mean 566 : -0.3615335 
forest RMSE 566 : 0.06298758 

nnet 566 : -0.5085722 
nnet mean 566 : -0.4281122 
nnet RMSE 566 : 0.1506996 


s: 567 
logit 567 : -0.3288168 
logit mean 567 : -0.4004445 
logit RMSE 567 : 0.05660268 

boosting 567 : -0.4224604 
boosting mean 567 : -0.4964003 
boosting RMSE 567 : 0.1532914 

forest 567 : -0.3532184 
forest mean 567 : -0.3615188 
forest RMSE 567 : 0.06296267 

nnet 567 : -0.3485148 
nnet mean 567 : -0.4279718 
nnet RMSE 567 : 0.1505821 


s: 568 
logit 568 : -0.3620935 
logit mean 568 : -0.400377 
logit RMSE 568 : 0.0565752 

boosting 568 : -0.7781674 
boosting mean 568 : -0.4968964 
boosting RMSE 568 : 0.1539761 

forest 568 : -0.3579626 
forest mean 568 : -0.3615126 
forest RMSE 568 : 0.06293194 

nnet 568 : -0.4165078 
nnet mean 568 : -0.4279516 
nnet RMSE 568 : 0.1504511 


s: 569 
logit 569 : -0.4110185 
logit mean 569 : -0.4003957 
logit RMSE 569 : 0.05652735 

boosting 569 : -0.3834621 
boosting mean 569 : -0.496697 
boosting RMSE 569 : 0.1538423 

forest 569 : -0.3537779 
forest mean 569 : -0.3614990 
forest RMSE 569 : 0.06290647 

nnet 569 : -0.3901597 
nnet mean 569 : -0.4278852 
nnet RMSE 569 : 0.1503194 


s: 570 
logit 570 : -0.5062945 
logit mean 570 : -0.4005815 
logit RMSE 570 : 0.05665295 

boosting 570 : -0.6298036 
boosting mean 570 : -0.4969305 
boosting RMSE 570 : 0.1540084 

forest 570 : -0.503717 
forest mean 570 : -0.3617485 
forest RMSE 570 : 0.06300122 

nnet 570 : -0.5129585 
nnet mean 570 : -0.4280345 
nnet RMSE 570 : 0.150262 


s: 571 
logit 571 : -0.3086523 
logit mean 571 : -0.4004205 
logit RMSE 571 : 0.05673226 

boosting 571 : -0.3744504 
boosting mean 571 : -0.496716 
boosting RMSE 571 : 0.1538772 

forest 571 : -0.3784692 
forest mean 571 : -0.3617778 
forest RMSE 571 : 0.06295248 

nnet 571 : -0.7650566 
nnet mean 571 : -0.4286247 
nnet RMSE 571 : 0.1509057 


s: 572 
logit 572 : -0.4425533 
logit mean 572 : -0.4004942 
logit RMSE 572 : 0.05671057 

boosting 572 : -0.5249335 
boosting mean 572 : -0.4967654 
boosting RMSE 572 : 0.1538314 

forest 572 : -0.4065071 
forest mean 572 : -0.3618560 
forest RMSE 572 : 0.06289801 

nnet 572 : -0.5239479 
nnet mean 572 : -0.4287913 
nnet RMSE 572 : 0.1508627 


s: 573 
logit 573 : -0.3776815 
logit mean 573 : -0.4004544 
logit RMSE 573 : 0.05666873 

boosting 573 : -0.7344233 
boosting mean 573 : -0.4971801 
boosting RMSE 573 : 0.1543307 

forest 573 : -0.3623385 
forest mean 573 : -0.3618568 
forest RMSE 573 : 0.0628628 

nnet 573 : -0.5137927 
nnet mean 573 : -0.4289397 
nnet RMSE 573 : 0.1508060 


s: 574 
logit 574 : -0.4276776 
logit mean 574 : -0.4005018 
logit RMSE 574 : 0.05663113 

boosting 574 : -0.5316657 
boosting mean 574 : -0.4972402 
boosting RMSE 574 : 0.1542941 

forest 574 : -0.4164321 
forest mean 574 : -0.3619519 
forest RMSE 574 : 0.06281176 

nnet 574 : -0.2076051 
nnet mean 574 : -0.4285541 
nnet RMSE 574 : 0.1508884 


s: 575 
logit 575 : -0.3479281 
logit mean 575 : -0.4004104 
logit RMSE 575 : 0.05662352 

boosting 575 : -0.5902325 
boosting mean 575 : -0.4974019 
boosting RMSE 575 : 0.1543639 

forest 575 : -0.3518678 
forest mean 575 : -0.3619343 
forest RMSE 575 : 0.06278921 

nnet 575 : -0.2028116 
nnet mean 575 : -0.4281615 
nnet RMSE 575 : 0.1509812 


s: 576 
logit 576 : -0.4498051 
logit mean 576 : -0.4004961 
logit RMSE 576 : 0.0566124 

boosting 576 : -0.3628673 
boosting mean 576 : -0.4971684 
boosting RMSE 576 : 0.1542376 

forest 576 : -0.4194862 
forest mean 576 : -0.3620343 
forest RMSE 576 : 0.06273993 

nnet 576 : -0.4699082 
nnet mean 576 : -0.428234 
nnet RMSE 576 : 0.1508782 


s: 577 
logit 577 : -0.3858433 
logit mean 577 : -0.4004707 
logit RMSE 577 : 0.05656639 

boosting 577 : -0.4182351 
boosting mean 577 : -0.4970316 
boosting RMSE 577 : 0.1541058 

forest 577 : -0.3465757 
forest mean 577 : -0.3620075 
forest RMSE 577 : 0.06272498 

nnet 577 : -0.502319 
nnet mean 577 : -0.4283624 
nnet RMSE 577 : 0.1508076 


s: 578 
logit 578 : -0.4309544 
logit mean 578 : -0.4005235 
logit RMSE 578 : 0.0565321 

boosting 578 : -0.5411948 
boosting mean 578 : -0.497108 
boosting RMSE 578 : 0.1540844 

forest 578 : -0.3526231 
forest mean 578 : -0.3619912 
forest RMSE 578 : 0.06270168 

nnet 578 : -0.2375402 
nnet mean 578 : -0.4280322 
nnet RMSE 578 : 0.1508285 


s: 579 
logit 579 : -0.3935947 
logit mean 579 : -0.4005115 
logit RMSE 579 : 0.05648389 

boosting 579 : -0.7598079 
boosting mean 579 : -0.4975617 
boosting RMSE 579 : 0.1546757 

forest 579 : -0.3381247 
forest mean 579 : -0.36195 
forest RMSE 579 : 0.06270026 

nnet 579 : -0.4657418 
nnet mean 579 : -0.4280974 
nnet RMSE 579 : 0.150723 


s: 580 
logit 580 : -0.3772946 
logit mean 580 : -0.4004715 
logit RMSE 580 : 0.05644305 

boosting 580 : -0.5453701 
boosting mean 580 : -0.4976441 
boosting RMSE 580 : 0.1546602 

forest 580 : -0.3600598 
forest mean 580 : -0.3619467 
forest RMSE 580 : 0.06266813 

nnet 580 : -0.4846877 
nnet mean 580 : -0.4281949 
nnet RMSE 580 : 0.1506341 


s: 581 
logit 581 : -0.3807715 
logit mean 581 : -0.4004376 
logit RMSE 581 : 0.05640009 

boosting 581 : -0.4710886 
boosting mean 581 : -0.4975984 
boosting RMSE 581 : 0.1545551 

forest 581 : -0.3479531 
forest mean 581 : -0.3619227 
forest RMSE 581 : 0.0626514 

nnet 581 : -0.3234905 
nnet mean 581 : -0.4280147 
nnet RMSE 581 : 0.1505378 


s: 582 
logit 582 : -0.3689740 
logit mean 582 : -0.4003835 
logit RMSE 582 : 0.05636629 

boosting 582 : -0.6038163 
boosting mean 582 : -0.4977809 
boosting RMSE 582 : 0.1546532 

forest 582 : -0.3321849 
forest mean 582 : -0.3618716 
forest RMSE 582 : 0.06266063 

nnet 582 : -0.6748782 
nnet mean 582 : -0.4284389 
nnet RMSE 582 : 0.1508394 


s: 583 
logit 583 : -0.5059528 
logit mean 583 : -0.4005646 
logit RMSE 583 : 0.05648862 

boosting 583 : -0.7015531 
boosting mean 583 : -0.4981304 
boosting RMSE 583 : 0.1550244 

forest 583 : -0.3836367 
forest mean 583 : -0.3619089 
forest RMSE 583 : 0.06261054 

nnet 583 : -0.3519438 
nnet mean 583 : -0.4283077 
nnet RMSE 583 : 0.1507231 


s: 584 
logit 584 : -0.3829972 
logit mean 584 : -0.4005345 
logit RMSE 584 : 0.05644463 

boosting 584 : -0.2933064 
boosting mean 584 : -0.4977797 
boosting RMSE 584 : 0.1549546 

forest 584 : -0.352432 
forest mean 584 : -0.3618927 
forest RMSE 584 : 0.06258787 

nnet 584 : -0.2240719 
nnet mean 584 : -0.4279579 
nnet RMSE 584 : 0.1507699 


s: 585 
logit 585 : -0.3022918 
logit mean 585 : -0.4003666 
logit RMSE 585 : 0.05654086 

boosting 585 : -0.5016703 
boosting mean 585 : -0.4977863 
boosting RMSE 585 : 0.1548791 

forest 585 : -0.4270875 
forest mean 585 : -0.3620041 
forest RMSE 585 : 0.06254438 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 585 : -0.2707066 
nnet mean 585 : -0.4276891 
nnet RMSE 585 : 0.1507358 


s: 586 
logit 586 : -0.3808862 
logit mean 586 : -0.4003333 
logit RMSE 586 : 0.05649812 

boosting 586 : -0.5406372 
boosting mean 586 : -0.4978595 
boosting RMSE 586 : 0.1548559 

forest 586 : -0.2319311 
forest mean 586 : -0.3617821 
forest RMSE 586 : 0.06287549 

nnet 586 : -0.4069448 
nnet mean 586 : -0.4276537 
nnet RMSE 586 : 0.1506074 


s: 587 
logit 587 : -0.4268763 
logit mean 587 : -0.4003785 
logit RMSE 587 : 0.05646087 

boosting 587 : -0.4608827 
boosting mean 587 : -0.4977965 
boosting RMSE 587 : 0.1547444 

forest 587 : -0.3356043 
forest mean 587 : -0.3617375 
forest RMSE 587 : 0.06287811 

nnet 587 : -0.5262457 
nnet mean 587 : -0.4278217 
nnet RMSE 587 : 0.1505693 


s: 588 
logit 588 : -0.3427263 
logit mean 588 : -0.4002805 
logit RMSE 588 : 0.05646226 

boosting 588 : -0.3918837 
boosting mean 588 : -0.4976164 
boosting RMSE 588 : 0.1546131 

forest 588 : -0.4324023 
forest mean 588 : -0.3618577 
forest RMSE 588 : 0.06283883 

nnet 588 : -0.667916 
nnet mean 588 : -0.42823 
nnet RMSE 588 : 0.1508463 


s: 589 
logit 589 : -0.3903233 
logit mean 589 : -0.4002636 
logit RMSE 589 : 0.05641572 

boosting 589 : -0.4665641 
boosting mean 589 : -0.4975636 
boosting RMSE 589 : 0.1545061 

forest 589 : -0.3734839 
forest mean 589 : -0.3618775 
forest RMSE 589 : 0.06279497 

nnet 589 : -0.527753 
nnet mean 589 : -0.428399 
nnet RMSE 589 : 0.1508101 


s: 590 
logit 590 : -0.3449940 
logit mean 590 : -0.4001699 
logit RMSE 590 : 0.05641336 

boosting 590 : -0.6106931 
boosting mean 590 : -0.4977554 
boosting RMSE 590 : 0.1546186 

forest 590 : -0.3280723 
forest mean 590 : -0.3618202 
forest RMSE 590 : 0.06281157 

nnet 590 : -0.5114348 
nnet mean 590 : -0.4285397 
nnet RMSE 590 : 0.1507521 


s: 591 
logit 591 : -0.3995015 
logit mean 591 : -0.4001688 
logit RMSE 591 : 0.05636562 

boosting 591 : -0.53258 
boosting mean 591 : -0.4978143 
boosting RMSE 591 : 0.154584 

forest 591 : -0.388629 
forest mean 591 : -0.3618655 
forest RMSE 591 : 0.06276015 

nnet 591 : -0.4896446 
nnet mean 591 : -0.4286431 
nnet RMSE 591 : 0.1506696 


s: 592 
logit 592 : -0.4164497 
logit mean 592 : -0.4001963 
logit RMSE 592 : 0.05632205 

boosting 592 : -0.571259 
boosting mean 592 : -0.4979384 
boosting RMSE 592 : 0.1546137 

forest 592 : -0.3631339 
forest mean 592 : -0.3618677 
forest RMSE 592 : 0.06272543 

nnet 592 : -0.3665045 
nnet mean 592 : -0.4285382 
nnet RMSE 592 : 0.1505486 


s: 593 
logit 593 : -0.3441160 
logit mean 593 : -0.4001017 
logit RMSE 593 : 0.05632131 

boosting 593 : -0.5691817 
boosting mean 593 : -0.4980585 
boosting RMSE 593 : 0.1546394 

forest 593 : -0.3277745 
forest mean 593 : -0.3618102 
forest RMSE 593 : 0.06274266 

nnet 593 : -0.4980044 
nnet mean 593 : -0.4286553 
nnet RMSE 593 : 0.1504754 


s: 594 
logit 594 : -0.2833685 
logit mean 594 : -0.3999052 
logit RMSE 594 : 0.05647699 

boosting 594 : -0.36531 
boosting mean 594 : -0.497835 
boosting RMSE 594 : 0.1545158 

forest 594 : -0.3774853 
forest mean 594 : -0.3618366 
forest RMSE 594 : 0.06269663 

nnet 594 : -0.7505226 
nnet mean 594 : -0.4291972 
nnet RMSE 594 : 0.1510351 


s: 595 
logit 595 : -0.3740941 
logit mean 595 : -0.3998618 
logit RMSE 595 : 0.0564395 

boosting 595 : -0.7503221 
boosting mean 595 : -0.4982594 
boosting RMSE 595 : 0.1550524 

forest 595 : -0.4328078 
forest mean 595 : -0.3619558 
forest RMSE 595 : 0.06265836 

nnet 595 : -0.595368 
nnet mean 595 : -0.4294764 
nnet RMSE 595 : 0.1511205 


s: 596 
logit 596 : -0.4258674 
logit mean 596 : -0.3999054 
logit RMSE 596 : 0.05640209 

boosting 596 : -0.616094 
boosting mean 596 : -0.4984571 
boosting RMSE 596 : 0.1551749 

forest 596 : -0.4121965 
forest mean 596 : -0.3620401 
forest RMSE 596 : 0.06260776 

nnet 596 : -0.4623766 
nnet mean 596 : -0.4295316 
nnet RMSE 596 : 0.1510153 


s: 597 
logit 597 : -0.4948366 
logit mean 597 : -0.4000644 
logit RMSE 597 : 0.05648834 

boosting 597 : -0.4956454 
boosting mean 597 : -0.4984524 
boosting RMSE 597 : 0.1550943 

forest 597 : -0.373486 
forest mean 597 : -0.3620593 
forest RMSE 597 : 0.06256472 

nnet 597 : -0.4278707 
nnet mean 597 : -0.4295289 
nnet RMSE 597 : 0.1508930 


s: 598 
logit 598 : -0.3501171 
logit mean 598 : -0.3999809 
logit RMSE 598 : 0.05647794 

boosting 598 : -0.3422542 
boosting mean 598 : -0.4981912 
boosting RMSE 598 : 0.1549826 

forest 598 : -0.3534822 
forest mean 598 : -0.362045 
forest RMSE 598 : 0.06254132 

nnet 598 : -0.4504381 
nnet mean 598 : -0.4295638 
nnet RMSE 598 : 0.1507809 


s: 599 
logit 599 : -0.5139912 
logit mean 599 : -0.4001713 
logit RMSE 599 : 0.05662266 

boosting 599 : -0.5818912 
boosting mean 599 : -0.4983309 
boosting RMSE 599 : 0.1550314 

forest 599 : -0.3706598 
forest mean 599 : -0.3620594 
forest RMSE 599 : 0.06250059 

nnet 599 : -0.610914 
nnet mean 599 : -0.4298666 
nnet RMSE 599 : 0.1509013 


s: 600 
logit 600 : -0.4232259 
logit mean 600 : -0.4002097 
logit RMSE 600 : 0.0565834 

boosting 600 : -0.3231975 
boosting mean 600 : -0.498039 
boosting RMSE 600 : 0.1549339 

forest 600 : -0.3155868 
forest mean 600 : -0.3619819 
forest RMSE 600 : 0.0625435 

nnet 600 : -0.2385351 
nnet mean 600 : -0.4295477 
nnet RMSE 600 : 0.1509195 


s: 601 
logit 601 : -0.4279741 
logit mean 601 : -0.4002559 
logit RMSE 601 : 0.05654782 

boosting 601 : -0.3533811 
boosting mean 601 : -0.4977983 
boosting RMSE 601 : 0.1548166 

forest 601 : -0.4238311 
forest mean 601 : -0.3620848 
forest RMSE 601 : 0.062499 

nnet 601 : -0.5147747 
nnet mean 601 : -0.4296895 
nnet RMSE 601 : 0.1508666 


s: 602 
logit 602 : -0.3784619 
logit mean 602 : -0.4002197 
logit RMSE 602 : 0.05650765 

boosting 602 : -0.3637254 
boosting mean 602 : -0.4975756 
boosting RMSE 602 : 0.1546951 

forest 602 : -0.4378583 
forest mean 602 : -0.3622107 
forest RMSE 602 : 0.06246613 

nnet 602 : -0.3975973 
nnet mean 602 : -0.4296362 
nnet RMSE 602 : 0.1507412 


s: 603 
logit 603 : -0.4390579 
logit mean 603 : -0.4002841 
logit RMSE 603 : 0.05648317 

boosting 603 : -0.3147006 
boosting mean 603 : -0.4972723 
boosting RMSE 603 : 0.1546058 

forest 603 : -0.3870056 
forest mean 603 : -0.3622518 
forest RMSE 603 : 0.06241656 

nnet 603 : -0.2950939 
nnet mean 603 : -0.4294131 
nnet RMSE 603 : 0.1506768 


s: 604 
logit 604 : -0.4233223 
logit mean 604 : -0.4003222 
logit RMSE 604 : 0.05644437 

boosting 604 : -0.5706234 
boosting mean 604 : -0.4973938 
boosting RMSE 604 : 0.1546336 

forest 604 : -0.3229223 
forest mean 604 : -0.3621867 
forest RMSE 604 : 0.06244368 

nnet 604 : -0.543686 
nnet mean 604 : -0.4296023 
nnet RMSE 604 : 0.1506655 


s: 605 
logit 605 : -0.3892967 
logit mean 605 : -0.400304 
logit RMSE 605 : 0.05639939 

boosting 605 : -0.5923192 
boosting mean 605 : -0.4975507 
boosting RMSE 605 : 0.1547035 

forest 605 : -0.294149 
forest mean 605 : -0.3620742 
forest RMSE 605 : 0.06254029 

nnet 605 : -0.768693 
nnet mean 605 : -0.4301627 
nnet RMSE 605 : 0.1512853 


s: 606 
logit 606 : -0.432494 
logit mean 606 : -0.4003571 
logit RMSE 606 : 0.05636829 

boosting 606 : -0.5141518 
boosting mean 606 : -0.4975781 
boosting RMSE 606 : 0.1546454 

forest 606 : -0.3544108 
forest mean 606 : -0.3620616 
forest RMSE 606 : 0.0625161 

nnet 606 : -0.1220546 
nnet mean 606 : -0.4296543 
nnet RMSE 606 : 0.1515815 


s: 607 
logit 607 : -0.3862326 
logit mean 607 : -0.4003338 
logit RMSE 607 : 0.05632461 

boosting 607 : -0.4828448 
boosting mean 607 : -0.4975538 
boosting RMSE 607 : 0.1545545 

forest 607 : -0.388505 
forest mean 607 : -0.3621051 
forest RMSE 607 : 0.06246633 

nnet 607 : -0.4936997 
nnet mean 607 : -0.4297598 
nnet RMSE 607 : 0.1515044 


s: 608 
logit 608 : -0.3651342 
logit mean 608 : -0.4002760 
logit RMSE 608 : 0.05629603 

boosting 608 : -0.6346937 
boosting mean 608 : -0.4977794 
boosting RMSE 608 : 0.1547204 

forest 608 : -0.3314085 
forest mean 608 : -0.3620547 
forest RMSE 608 : 0.0624769 

nnet 608 : -0.319545 
nnet mean 608 : -0.4295786 
nnet RMSE 608 : 0.1514149 


s: 609 
logit 609 : -0.5016276 
logit mean 609 : -0.4004424 
logit RMSE 609 : 0.05640034 

boosting 609 : -0.5355262 
boosting mean 609 : -0.4978413 
boosting RMSE 609 : 0.1546908 

forest 609 : -0.4592497 
forest mean 609 : -0.3622143 
forest RMSE 609 : 0.06247173 

nnet 609 : -0.5262973 
nnet mean 609 : -0.4297374 
nnet RMSE 609 : 0.1513770 


s: 610 
logit 610 : -0.3397657 
logit mean 610 : -0.4003429 
logit RMSE 610 : 0.05640684 

boosting 610 : -0.3716392 
boosting mean 610 : -0.4976344 
boosting RMSE 610 : 0.1545682 

forest 610 : -0.4290086 
forest mean 610 : -0.3623238 
forest RMSE 610 : 0.06243156 

nnet 610 : -0.3013533 
nnet mean 610 : -0.4295269 
nnet RMSE 610 : 0.1513056 


s: 611 
logit 611 : -0.4365698 
logit mean 611 : -0.4004022 
logit RMSE 611 : 0.05638008 

boosting 611 : -0.4384701 
boosting mean 611 : -0.4975376 
boosting RMSE 611 : 0.1544495 

forest 611 : -0.4688615 
forest mean 611 : -0.3624981 
forest RMSE 611 : 0.06244262 

nnet 611 : -0.3072378 
nnet mean 611 : -0.4293268 
nnet RMSE 611 : 0.1512283 


s: 612 
logit 612 : -0.3639048 
logit mean 612 : -0.4003426 
logit RMSE 612 : 0.05635289 

boosting 612 : -0.3829009 
boosting mean 612 : -0.4973503 
boosting RMSE 612 : 0.1543249 

forest 612 : -0.2805069 
forest mean 612 : -0.3623641 
forest RMSE 612 : 0.06257828 

nnet 612 : -0.163553 
nnet mean 612 : -0.4288925 
nnet RMSE 612 : 0.1514067 


s: 613 
logit 613 : -0.4206955 
logit mean 613 : -0.4003758 
logit RMSE 613 : 0.05631311 

boosting 613 : -0.5859281 
boosting mean 613 : -0.4974948 
boosting RMSE 613 : 0.1543817 

forest 613 : -0.3372398 
forest mean 613 : -0.3623232 
forest RMSE 613 : 0.06257857 

nnet 613 : -0.55303 
nnet mean 613 : -0.429095 
nnet RMSE 613 : 0.1514094 


s: 614 
logit 614 : -0.3025837 
logit mean 614 : -0.4002165 
logit RMSE 614 : 0.05640441 

boosting 614 : -0.5459527 
boosting mean 614 : -0.4975737 
boosting RMSE 614 : 0.1543683 

forest 614 : -0.3703452 
forest mean 614 : -0.3623362 
forest RMSE 614 : 0.06253905 

nnet 614 : -0.3678849 
nnet mean 614 : -0.4289953 
nnet RMSE 614 : 0.1512916 


s: 615 
logit 615 : -0.4721104 
logit mean 615 : -0.4003334 
logit RMSE 615 : 0.05643349 

boosting 615 : -0.5394657 
boosting mean 615 : -0.4976418 
boosting RMSE 615 : 0.1543453 

forest 615 : -0.3441431 
forest mean 615 : -0.3623066 
forest RMSE 615 : 0.06252876 

nnet 615 : -0.2204348 
nnet mean 615 : -0.4286562 
nnet RMSE 615 : 0.1513418 


s: 616 
logit 616 : -0.3396924 
logit mean 616 : -0.4002350 
logit RMSE 616 : 0.05644 

boosting 616 : -0.4866865 
boosting mean 616 : -0.4976241 
boosting RMSE 616 : 0.1542595 

forest 616 : -0.3025 
forest mean 616 : -0.3622096 
forest RMSE 616 : 0.06260136 

nnet 616 : -0.3593407 
nnet mean 616 : -0.4285437 
nnet RMSE 616 : 0.1512278 


s: 617 
logit 617 : -0.4565711 
logit mean 617 : -0.4003263 
logit RMSE 617 : 0.05644021 

boosting 617 : -0.4644125 
boosting mean 617 : -0.4975702 
boosting RMSE 617 : 0.1541562 

forest 617 : -0.3395410 
forest mean 617 : -0.3621728 
forest RMSE 617 : 0.06259795 

nnet 617 : -0.4709928 
nnet mean 617 : -0.4286125 
nnet RMSE 617 : 0.1511322 


s: 618 
logit 618 : -0.4315582 
logit mean 618 : -0.4003768 
logit RMSE 618 : 0.05640882 

boosting 618 : -0.4630953 
boosting mean 618 : -0.4975144 
boosting RMSE 618 : 0.1540524 

forest 618 : -0.353485 
forest mean 618 : -0.3621588 
forest RMSE 618 : 0.06257527 

nnet 618 : -0.6441757 
nnet mean 618 : -0.4289613 
nnet RMSE 618 : 0.1513290 


s: 619 
logit 619 : -0.448834 
logit mean 619 : -0.4004551 
logit RMSE 619 : 0.0563974 

boosting 619 : -0.5554446 
boosting mean 619 : -0.497608 
boosting RMSE 619 : 0.1540546 

forest 619 : -0.3487952 
forest mean 619 : -0.3621372 
forest RMSE 619 : 0.06255856 

nnet 619 : -0.4437644 
nnet mean 619 : -0.4289852 
nnet RMSE 619 : 0.1512170 


s: 620 
logit 620 : -0.4124024 
logit mean 620 : -0.4004743 
logit RMSE 620 : 0.0563541 

boosting 620 : -0.4938036 
boosting mean 620 : -0.4976019 
boosting RMSE 620 : 0.1539764 

forest 620 : -0.4111393 
forest mean 620 : -0.3622162 
forest RMSE 620 : 0.0625097 

nnet 620 : -0.457471 
nnet mean 620 : -0.4290311 
nnet RMSE 620 : 0.1511126 


s: 621 
logit 621 : -0.4159987 
logit mean 621 : -0.4004993 
logit RMSE 621 : 0.05631237 

boosting 621 : -0.4797954 
boosting mean 621 : -0.4975732 
boosting RMSE 621 : 0.1538857 

forest 621 : -0.3415068 
forest mean 621 : -0.3621829 
forest RMSE 621 : 0.06250343 

nnet 621 : -0.4160756 
nnet mean 621 : -0.4290103 
nnet RMSE 621 : 0.1509923 


s: 622 
logit 622 : -0.3995978 
logit mean 622 : -0.4004979 
logit RMSE 622 : 0.05626708 

boosting 622 : -0.4038899 
boosting mean 622 : -0.4974226 
boosting RMSE 622 : 0.1537621 

forest 622 : -0.4544682 
forest mean 622 : -0.3623312 
forest RMSE 622 : 0.06249134 

nnet 622 : -0.3204896 
nnet mean 622 : -0.4288358 
nnet RMSE 622 : 0.1509045 


s: 623 
logit 623 : -0.3784524 
logit mean 623 : -0.4004625 
logit RMSE 623 : 0.05622854 

boosting 623 : -0.4573519 
boosting mean 623 : -0.4973583 
boosting RMSE 623 : 0.1536558 

forest 623 : -0.4104789 
forest mean 623 : -0.3624085 
forest RMSE 623 : 0.06244258 

nnet 623 : -0.3976426 
nnet mean 623 : -0.4287857 
nnet RMSE 623 : 0.1507834 


s: 624 
logit 624 : -0.3782218 
logit mean 624 : -0.4004269 
logit RMSE 624 : 0.05619023 

boosting 624 : -0.3604864 
boosting mean 624 : -0.4971389 
boosting RMSE 624 : 0.1535408 

forest 624 : -0.3166835 
forest mean 624 : -0.3623352 
forest RMSE 624 : 0.06248161 

nnet 624 : -0.1189636 
nnet mean 624 : -0.4282892 
nnet RMSE 624 : 0.1510820 


s: 625 
logit 625 : -0.319322 
logit mean 625 : -0.4002971 
logit RMSE 625 : 0.05623792 

boosting 625 : -0.5267849 
boosting mean 625 : -0.4971864 
boosting RMSE 625 : 0.1535017 

forest 625 : -0.4134421 
forest mean 625 : -0.362417 
forest RMSE 625 : 0.06243392 

nnet 625 : -0.1293931 
nnet mean 625 : -0.427811 
nnet RMSE 625 : 0.1513486 


s: 626 
logit 626 : -0.4220027 
logit mean 626 : -0.4003318 
logit RMSE 626 : 0.05619987 

boosting 626 : -0.5263147 
boosting mean 626 : -0.4972329 
boosting RMSE 626 : 0.1534621 

forest 626 : -0.3515276 
forest mean 626 : -0.3623996 
forest RMSE 626 : 0.06241411 

nnet 626 : -0.4833332 
nnet mean 626 : -0.4278997 
nnet RMSE 626 : 0.1512644 


s: 627 
logit 627 : -0.2684026 
logit mean 627 : -0.4001214 
logit RMSE 627 : 0.05640043 

boosting 627 : -0.3132942 
boosting mean 627 : -0.4969395 
boosting RMSE 627 : 0.1533787 

forest 627 : -0.3514134 
forest mean 627 : -0.3623821 
forest RMSE 627 : 0.0623945 

nnet 627 : -0.539496 
nnet mean 627 : -0.4280777 
nnet RMSE 627 : 0.1512463 


s: 628 
logit 628 : -0.3571424 
logit mean 628 : -0.4000529 
logit RMSE 628 : 0.05638145 

boosting 628 : -0.498043 
boosting mean 628 : -0.4969413 
boosting RMSE 628 : 0.1533065 

forest 628 : -0.3276988 
forest mean 628 : -0.3623269 
forest RMSE 628 : 0.06241152 

nnet 628 : -0.5224418 
nnet mean 628 : -0.4282279 
nnet RMSE 628 : 0.1512048 


s: 629 
logit 629 : -0.4033385 
logit mean 629 : -0.4000581 
logit RMSE 629 : 0.05633677 

boosting 629 : -0.6750483 
boosting mean 629 : -0.4972245 
boosting RMSE 629 : 0.1535767 

forest 629 : -0.3354315 
forest mean 629 : -0.3622841 
forest RMSE 629 : 0.06241501 

nnet 629 : -0.3178556 
nnet mean 629 : -0.4280524 
nnet RMSE 629 : 0.1511201 


s: 630 
logit 630 : -0.3372134 
logit mean 630 : -0.3999584 
logit RMSE 630 : 0.05634759 

boosting 630 : -0.3626492 
boosting mean 630 : -0.4970108 
boosting RMSE 630 : 0.1534620 

forest 630 : -0.2636893 
forest mean 630 : -0.3621276 
forest RMSE 630 : 0.06260146 

nnet 630 : -0.3751235 
nnet mean 630 : -0.4279684 
nnet RMSE 630 : 0.1510033 


s: 631 
logit 631 : -0.3270328 
logit mean 631 : -0.3998428 
logit RMSE 631 : 0.05637781 

boosting 631 : -0.4022313 
boosting mean 631 : -0.4968606 
boosting RMSE 631 : 0.1533403 

forest 631 : -0.3669003 
forest mean 631 : -0.3621352 
forest RMSE 631 : 0.06256571 

nnet 631 : -0.5432923 
nnet mean 631 : -0.4281512 
nnet RMSE 631 : 0.1509914 


s: 632 
logit 632 : -0.5282434 
logit mean 632 : -0.400046 
logit RMSE 632 : 0.05656369 

boosting 632 : -0.5676565 
boosting mean 632 : -0.4969727 
boosting RMSE 632 : 0.1533640 

forest 632 : -0.3524634 
forest mean 632 : -0.3621199 
forest RMSE 632 : 0.06254479 

nnet 632 : -0.2198709 
nnet mean 632 : -0.4278216 
nnet RMSE 632 : 0.1510420 


s: 633 
logit 633 : -0.335247 
logit mean 633 : -0.3999436 
logit RMSE 633 : 0.05657756 

boosting 633 : -0.4711737 
boosting mean 633 : -0.4969319 
boosting RMSE 633 : 0.1532690 

forest 633 : -0.4011868 
forest mean 633 : -0.3621816 
forest RMSE 633 : 0.06249538 

nnet 633 : -0.4460174 
nnet mean 633 : -0.4278504 
nnet RMSE 633 : 0.1509337 


s: 634 
logit 634 : -0.3756392 
logit mean 634 : -0.3999053 
logit RMSE 634 : 0.0565412 

boosting 634 : -0.4965299 
boosting mean 634 : -0.4969313 
boosting RMSE 634 : 0.153196 

forest 634 : -0.4332512 
forest mean 634 : -0.3622937 
forest RMSE 634 : 0.06246004 

nnet 634 : -0.6049139 
nnet mean 634 : -0.4281297 
nnet RMSE 634 : 0.1510340 


s: 635 
logit 635 : -0.4180381 
logit mean 635 : -0.3999338 
logit RMSE 635 : 0.0565012 

boosting 635 : -0.5889111 
boosting mean 635 : -0.4970761 
boosting RMSE 635 : 0.1532588 

forest 635 : -0.26521 
forest mean 635 : -0.3621408 
forest RMSE 635 : 0.06263964 

nnet 635 : -0.3205602 
nnet mean 635 : -0.4279603 
nnet RMSE 635 : 0.150948 


s: 636 
logit 636 : -0.4264312 
logit mean 636 : -0.3999755 
logit RMSE 636 : 0.05646649 

boosting 636 : -0.5342659 
boosting mean 636 : -0.4971346 
boosting RMSE 636 : 0.1532308 

forest 636 : -0.3297756 
forest mean 636 : -0.3620899 
forest RMSE 636 : 0.06265228 

nnet 636 : -0.764987 
nnet mean 636 : -0.4284902 
nnet RMSE 636 : 0.1515220 


s: 637 
logit 637 : -0.3758114 
logit mean 637 : -0.3999376 
logit RMSE 637 : 0.05643029 

boosting 637 : -0.543815 
boosting mean 637 : -0.4972079 
boosting RMSE 637 : 0.1532165 

forest 637 : -0.4311397 
forest mean 637 : -0.3621983 
forest RMSE 637 : 0.06261524 

nnet 637 : -0.5286627 
nnet mean 637 : -0.4286474 
nnet RMSE 637 : 0.1514889 


s: 638 
logit 638 : -0.4498613 
logit mean 638 : -0.4000158 
logit RMSE 638 : 0.05642059 

boosting 638 : -0.5660546 
boosting mean 638 : -0.4973158 
boosting RMSE 638 : 0.1532374 

forest 638 : -0.4188189 
forest mean 638 : -0.3622870 
forest RMSE 638 : 0.06257059 

nnet 638 : -0.738278 
nnet mean 638 : -0.4291328 
nnet RMSE 638 : 0.1519614 


s: 639 
logit 639 : -0.3867707 
logit mean 639 : -0.3999951 
logit RMSE 639 : 0.05637885 

boosting 639 : -0.6213752 
boosting mean 639 : -0.4975099 
boosting RMSE 639 : 0.1533677 

forest 639 : -0.3877458 
forest mean 639 : -0.3623269 
forest RMSE 639 : 0.06252349 

nnet 639 : -0.4864878 
nnet mean 639 : -0.4292225 
nnet RMSE 639 : 0.151881 


s: 640 
logit 640 : -0.3045862 
logit mean 640 : -0.399846 
logit RMSE 640 : 0.0564609 

boosting 640 : -0.4315161 
boosting mean 640 : -0.4974068 
boosting RMSE 640 : 0.1532529 

forest 640 : -0.3006074 
forest mean 640 : -0.3622304 
forest RMSE 640 : 0.06259804 

nnet 640 : -0.5454439 
nnet mean 640 : -0.4294041 
nnet RMSE 640 : 0.1518711 


s: 641 
logit 641 : -0.4290652 
logit mean 641 : -0.3998916 
logit RMSE 641 : 0.05642852 

boosting 641 : -0.5415337 
boosting mean 641 : -0.4974757 
boosting RMSE 641 : 0.1532353 

forest 641 : -0.3950697 
forest mean 641 : -0.3622817 
forest RMSE 641 : 0.06254949 

nnet 641 : -0.6677105 
nnet mean 641 : -0.4297759 
nnet RMSE 641 : 0.1521206 


s: 642 
logit 642 : -0.3411829 
logit mean 642 : -0.3998002 
logit RMSE 642 : 0.05643232 

boosting 642 : -0.6283504 
boosting mean 642 : -0.4976795 
boosting RMSE 642 : 0.1533809 

forest 642 : -0.3470964 
forest mean 642 : -0.362258 
forest RMSE 642 : 0.06253563 

nnet 642 : -0.5954818 
nnet mean 642 : -0.430034 
nnet RMSE 642 : 0.1521977 


s: 643 
logit 643 : -0.4006254 
logit mean 643 : -0.3998014 
logit RMSE 643 : 0.05638842 

boosting 643 : -0.5882566 
boosting mean 643 : -0.4978204 
boosting RMSE 643 : 0.1534413 

forest 643 : -0.411701 
forest mean 643 : -0.3623349 
forest RMSE 643 : 0.06248868 

nnet 643 : -0.4597803 
nnet mean 643 : -0.4300802 
nnet RMSE 643 : 0.1520976 


s: 644 
logit 644 : -0.4299775 
logit mean 644 : -0.3998483 
logit RMSE 644 : 0.05635701 

boosting 644 : -0.3307348 
boosting mean 644 : -0.4975609 
boosting RMSE 644 : 0.1533464 

forest 644 : -0.3543467 
forest mean 644 : -0.3623225 
forest RMSE 644 : 0.06246606 

nnet 644 : -0.4468636 
nnet mean 644 : -0.4301063 
nnet RMSE 644 : 0.1519907 


s: 645 
logit 645 : -0.3833246 
logit mean 645 : -0.3998227 
logit RMSE 645 : 0.05631713 

boosting 645 : -0.547358 
boosting mean 645 : -0.4976381 
boosting RMSE 645 : 0.1533373 

forest 645 : -0.4500679 
forest mean 645 : -0.3624586 
forest RMSE 645 : 0.06244874 

nnet 645 : -0.3146810 
nnet mean 645 : -0.4299274 
nnet RMSE 645 : 0.1519100 


s: 646 
logit 646 : -0.3665763 
logit mean 646 : -0.3997712 
logit RMSE 646 : 0.05628889 

boosting 646 : -0.5472345 
boosting mean 646 : -0.4977149 
boosting RMSE 646 : 0.1533281 

forest 646 : -0.4065258 
forest mean 646 : -0.3625268 
forest RMSE 646 : 0.06240092 

nnet 646 : -0.2442508 
nnet mean 646 : -0.4296399 
nnet RMSE 646 : 0.1519160 


s: 647 
logit 647 : -0.4267987 
logit mean 647 : -0.399813 
logit RMSE 647 : 0.05625524 

boosting 647 : -0.6052324 
boosting mean 647 : -0.4978811 
boosting RMSE 647 : 0.1534218 

forest 647 : -0.4565344 
forest mean 647 : -0.3626721 
forest RMSE 647 : 0.06239227 

nnet 647 : -0.6671393 
nnet mean 647 : -0.430007 
nnet RMSE 647 : 0.1521614 


s: 648 
logit 648 : -0.3072512 
logit mean 648 : -0.3996701 
logit RMSE 648 : 0.05632977 

boosting 648 : -0.4631278 
boosting mean 648 : -0.4978275 
boosting RMSE 648 : 0.1533235 

forest 648 : -0.355676 
forest mean 648 : -0.3626613 
forest RMSE 648 : 0.06236842 

nnet 648 : -0.3950402 
nnet mean 648 : -0.4299530 
nnet RMSE 648 : 0.1520441 


s: 649 
logit 649 : -0.4997161 
logit mean 649 : -0.3998243 
logit RMSE 649 : 0.05642229 

boosting 649 : -0.4475607 
boosting mean 649 : -0.49775 
boosting RMSE 649 : 0.1532167 

forest 649 : -0.3653186 
forest mean 649 : -0.3626654 
forest RMSE 649 : 0.06233522 

nnet 649 : -0.3652949 
nnet mean 649 : -0.4298534 
nnet RMSE 649 : 0.151933 


s: 650 
logit 650 : -0.3823229 
logit mean 650 : -0.3997974 
logit RMSE 650 : 0.05638314 

boosting 650 : -0.5137441 
boosting mean 650 : -0.4977746 
boosting RMSE 650 : 0.1531638 

forest 650 : -0.3845998 
forest mean 650 : -0.3626991 
forest RMSE 650 : 0.06229018 

nnet 650 : -0.5227264 
nnet mean 650 : -0.4299963 
nnet RMSE 650 : 0.1518924 


s: 651 
logit 651 : -0.2990282 
logit mean 651 : -0.3996426 
logit RMSE 651 : 0.05647863 

boosting 651 : -0.6329682 
boosting mean 651 : -0.4979823 
boosting RMSE 651 : 0.1533182 

forest 651 : -0.3768836 
forest mean 651 : -0.3627209 
forest RMSE 651 : 0.06224892 

nnet 651 : -0.3047484 
nnet mean 651 : -0.4298039 
nnet RMSE 651 : 0.1518216 


s: 652 
logit 652 : -0.3378941 
logit mean 652 : -0.3995479 
logit RMSE 652 : 0.05648769 

boosting 652 : -0.693642 
boosting mean 652 : -0.4982824 
boosting RMSE 652 : 0.1536316 

forest 652 : -0.3447229 
forest mean 652 : -0.3626933 
forest RMSE 652 : 0.06223882 

nnet 652 : -0.5835737 
nnet mean 652 : -0.4300398 
nnet RMSE 652 : 0.1518754 


s: 653 
logit 653 : -0.325217 
logit mean 653 : -0.3994340 
logit RMSE 653 : 0.05652024 

boosting 653 : -0.4656689 
boosting mean 653 : -0.4982324 
boosting RMSE 653 : 0.1535354 

forest 653 : -0.3597827 
forest mean 653 : -0.3626888 
forest RMSE 653 : 0.06221106 

nnet 653 : -0.4238977 
nnet mean 653 : -0.4300303 
nnet RMSE 653 : 0.1517619 


s: 654 
logit 654 : -0.2963194 
logit mean 654 : -0.3992764 
logit RMSE 654 : 0.05662234 

boosting 654 : -0.3987156 
boosting mean 654 : -0.4980803 
boosting RMSE 654 : 0.153418 

forest 654 : -0.3766739 
forest mean 654 : -0.3627102 
forest RMSE 654 : 0.06217017 

nnet 654 : -0.4093335 
nnet mean 654 : -0.4299987 
nnet RMSE 654 : 0.1516463 


s: 655 
logit 655 : -0.3738029 
logit mean 655 : -0.3992375 
logit RMSE 655 : 0.05658836 

boosting 655 : -0.3593793 
boosting mean 655 : -0.4978685 
boosting RMSE 655 : 0.1533091 

forest 655 : -0.2931333 
forest mean 655 : -0.362604 
forest RMSE 655 : 0.06226287 

nnet 655 : -0.3547368 
nnet mean 655 : -0.4298838 
nnet RMSE 655 : 0.1515408 


s: 656 
logit 656 : -0.332864 
logit mean 656 : -0.3991363 
logit RMSE 656 : 0.05660593 

boosting 656 : -0.463564 
boosting mean 656 : -0.4978162 
boosting RMSE 656 : 0.1532123 

forest 656 : -0.2731218 
forest mean 656 : -0.3624676 
forest RMSE 656 : 0.0624123 

nnet 656 : -0.5773072 
nnet mean 656 : -0.4301085 
nnet RMSE 656 : 0.1515834 


s: 657 
logit 657 : -0.4340234 
logit mean 657 : -0.3991894 
logit RMSE 657 : 0.05657841 

boosting 657 : -0.5324438 
boosting mean 657 : -0.4978689 
boosting RMSE 657 : 0.1531828 

forest 657 : -0.3792679 
forest mean 657 : -0.3624932 
forest RMSE 657 : 0.06237003 

nnet 657 : -0.5354938 
nnet mean 657 : -0.4302689 
nnet RMSE 657 : 0.1515602 


s: 658 
logit 658 : -0.2815614 
logit mean 658 : -0.3990106 
logit RMSE 658 : 0.05672363 

boosting 658 : -0.3022899 
boosting mean 658 : -0.4975717 
boosting RMSE 658 : 0.1531137 

forest 658 : -0.2901719 
forest mean 658 : -0.3623833 
forest RMSE 658 : 0.06246951 

nnet 658 : -0.2807973 
nnet mean 658 : -0.4300418 
nnet RMSE 658 : 0.1515163 


s: 659 
logit 659 : -0.3900506 
logit mean 659 : -0.3989970 
logit RMSE 659 : 0.0566819 

boosting 659 : -0.4116938 
boosting mean 659 : -0.4974414 
boosting RMSE 659 : 0.1529982 

forest 659 : -0.3333677 
forest mean 659 : -0.3623392 
forest RMSE 659 : 0.06247604 

nnet 659 : -0.4832895 
nnet mean 659 : -0.4301226 
nnet RMSE 659 : 0.1514360 


s: 660 
logit 660 : -0.3897131 
logit mean 660 : -0.398983 
logit RMSE 660 : 0.05664036 

boosting 660 : -0.3963321 
boosting mean 660 : -0.4972882 
boosting RMSE 660 : 0.1528823 

forest 660 : -0.3435186 
forest mean 660 : -0.3623107 
forest RMSE 660 : 0.06246739 

nnet 660 : -0.4348825 
nnet mean 660 : -0.4301298 
nnet RMSE 660 : 0.1513274 


s: 661 
logit 661 : -0.3433857 
logit mean 661 : -0.3988989 
logit RMSE 661 : 0.05664032 

boosting 661 : -0.4705424 
boosting mean 661 : -0.4972477 
boosting RMSE 661 : 0.1527913 

forest 661 : -0.3374456 
forest mean 661 : -0.3622731 
forest RMSE 661 : 0.06246752 

nnet 661 : -0.5475742 
nnet mean 661 : -0.4303075 
nnet RMSE 661 : 0.1513218 


s: 662 
logit 662 : -0.3911436 
logit mean 662 : -0.3988872 
logit RMSE 662 : 0.05659857 

boosting 662 : -0.4953625 
boosting mean 662 : -0.4972449 
boosting RMSE 662 : 0.1527208 

forest 662 : -0.386308 
forest mean 662 : -0.3623094 
forest RMSE 662 : 0.0624226 

nnet 662 : -0.4213926 
nnet mean 662 : -0.430294 
nnet RMSE 662 : 0.1512097 


s: 663 
logit 663 : -0.4486856 
logit mean 663 : -0.3989623 
logit RMSE 663 : 0.05658747 

boosting 663 : -0.4021952 
boosting mean 663 : -0.4971015 
boosting RMSE 663 : 0.1526056 

forest 663 : -0.3905703 
forest mean 663 : -0.362352 
forest RMSE 663 : 0.06237658 

nnet 663 : -0.6130454 
nnet mean 663 : -0.4305696 
nnet RMSE 663 : 0.151322 


s: 664 
logit 664 : -0.4083013 
logit mean 664 : -0.3989763 
logit RMSE 664 : 0.05654576 

boosting 664 : -0.2370650 
boosting mean 664 : -0.4967099 
boosting RMSE 664 : 0.1526217 

forest 664 : -0.3613722 
forest mean 664 : -0.3623505 
forest RMSE 664 : 0.06234761 

nnet 664 : -0.2305473 
nnet mean 664 : -0.4302684 
nnet RMSE 664 : 0.1513509 


s: 665 
logit 665 : -0.2979615 
logit mean 665 : -0.3988244 
logit RMSE 665 : 0.05664161 

boosting 665 : -0.4782097 
boosting mean 665 : -0.4966821 
boosting RMSE 665 : 0.1525371 

forest 665 : -0.2617006 
forest mean 665 : -0.3621992 
forest RMSE 665 : 0.06253112 

nnet 665 : -0.3787405 
nnet mean 665 : -0.4301909 
nnet RMSE 665 : 0.1512394 


s: 666 
logit 666 : -0.4647687 
logit mean 666 : -0.3989234 
logit RMSE 666 : 0.05665469 

boosting 666 : -0.4316186 
boosting mean 666 : -0.4965844 
boosting RMSE 666 : 0.1524274 

forest 666 : -0.4170121 
forest mean 666 : -0.3622815 
forest RMSE 666 : 0.06248764 

nnet 666 : -0.3276383 
nnet mean 666 : -0.4300369 
nnet RMSE 666 : 0.1511518 


s: 667 
logit 667 : -0.3444423 
logit mean 667 : -0.3988418 
logit RMSE 667 : 0.05665306 

boosting 667 : -0.4733208 
boosting mean 667 : -0.4965495 
boosting RMSE 667 : 0.1523396 

forest 667 : -0.3272436 
forest mean 667 : -0.362229 
forest RMSE 667 : 0.0625043 

nnet 667 : -0.3250579 
nnet mean 667 : -0.4298795 
nnet RMSE 667 : 0.1510663 


s: 668 
logit 668 : -0.3562957 
logit mean 668 : -0.3987781 
logit RMSE 668 : 0.05663589 

boosting 668 : -0.4352961 
boosting mean 668 : -0.4964578 
boosting RMSE 668 : 0.1522316 

forest 668 : -0.3090783 
forest mean 668 : -0.3621494 
forest RMSE 668 : 0.06255648 

nnet 668 : -0.6235014 
nnet mean 668 : -0.4301694 
nnet RMSE 668 : 0.1512007 


s: 669 
logit 669 : -0.3847893 
logit mean 669 : -0.3987572 
logit RMSE 669 : 0.0565966 

boosting 669 : -0.5525058 
boosting mean 669 : -0.4965416 
boosting RMSE 669 : 0.1522320 

forest 669 : -0.3009218 
forest mean 669 : -0.3620579 
forest RMSE 669 : 0.06262697 

nnet 669 : -0.3890299 
nnet mean 669 : -0.4301079 
nnet RMSE 669 : 0.1510882 


s: 670 
logit 670 : -0.3933433 
logit mean 670 : -0.3987491 
logit RMSE 670 : 0.05655493 

boosting 670 : -0.4804816 
boosting mean 670 : -0.4965176 
boosting RMSE 670 : 0.1521502 

forest 670 : -0.2840332 
forest mean 670 : -0.3619414 
forest RMSE 670 : 0.06274038 

nnet 670 : -0.2835676 
nnet mean 670 : -0.4298892 
nnet RMSE 670 : 0.1510424 


s: 671 
logit 671 : -0.4343657 
logit mean 671 : -0.3988022 
logit RMSE 671 : 0.05652834 

boosting 671 : -0.4643677 
boosting mean 671 : -0.4964697 
boosting RMSE 671 : 0.1520570 

forest 671 : -0.3769276 
forest mean 671 : -0.3619638 
forest RMSE 671 : 0.06269994 

nnet 671 : -0.6930371 
nnet mean 671 : -0.4302814 
nnet RMSE 671 : 0.1513532 


s: 672 
logit 672 : -0.4146629 
logit mean 672 : -0.3988258 
logit RMSE 672 : 0.0564891 

boosting 672 : -0.4990657 
boosting mean 672 : -0.4964735 
boosting RMSE 672 : 0.1519919 

forest 672 : -0.4272307 
forest mean 672 : -0.3620609 
forest RMSE 672 : 0.06266208 

nnet 672 : -0.2124954 
nnet mean 672 : -0.4299573 
nnet RMSE 672 : 0.1514134 


s: 673 
logit 673 : -0.3479794 
logit mean 673 : -0.3987502 
logit RMSE 673 : 0.05648272 

boosting 673 : -0.4084511 
boosting mean 673 : -0.4963428 
boosting RMSE 673 : 0.1518793 

forest 673 : -0.3075718 
forest mean 673 : -0.3619799 
forest RMSE 673 : 0.06271679 

nnet 673 : -0.4188726 
nnet mean 673 : -0.4299408 
nnet RMSE 673 : 0.1513026 


s: 674 
logit 674 : -0.3246789 
logit mean 674 : -0.3986403 
logit RMSE 674 : 0.05651532 

boosting 674 : -0.1856617 
boosting mean 674 : -0.4958818 
boosting RMSE 674 : 0.151991 

forest 674 : -0.3003761 
forest mean 674 : -0.3618885 
forest RMSE 674 : 0.06278762 

nnet 674 : -0.452751 
nnet mean 674 : -0.4299746 
nnet RMSE 674 : 0.1512040 


s: 675 
logit 675 : -0.4233147 
logit mean 675 : -0.3986769 
logit RMSE 675 : 0.05648057 

boosting 675 : -0.6572045 
boosting mean 675 : -0.4961208 
boosting RMSE 675 : 0.1522007 

forest 675 : -0.3182003 
forest mean 675 : -0.3618238 
forest RMSE 675 : 0.06282004 

nnet 675 : -0.3976592 
nnet mean 675 : -0.4299268 
nnet RMSE 675 : 0.1510920 


s: 676 
logit 676 : -0.5014896 
logit mean 676 : -0.3988290 
logit RMSE 676 : 0.05657361 

boosting 676 : -0.5752915 
boosting mean 676 : -0.4962379 
boosting RMSE 676 : 0.1522374 

forest 676 : -0.3113781 
forest mean 676 : -0.3617492 
forest RMSE 676 : 0.06286603 

nnet 676 : -0.3013110 
nnet mean 676 : -0.4297365 
nnet RMSE 676 : 0.1510279 


s: 677 
logit 677 : -0.4761683 
logit mean 677 : -0.3989432 
logit RMSE 677 : 0.05660755 

boosting 677 : -0.4338348 
boosting mean 677 : -0.4961457 
boosting RMSE 677 : 0.1521305 

forest 677 : -0.2537203 
forest mean 677 : -0.3615896 
forest RMSE 677 : 0.06307065 

nnet 677 : -0.3106825 
nnet mean 677 : -0.4295607 
nnet RMSE 677 : 0.1509553 


s: 678 
logit 678 : -0.2749990 
logit mean 678 : -0.3987604 
logit RMSE 678 : 0.05676914 

boosting 678 : -0.6384335 
boosting mean 678 : -0.4963556 
boosting RMSE 678 : 0.1522938 

forest 678 : -0.3193567 
forest mean 678 : -0.3615273 
forest RMSE 678 : 0.06310017 

nnet 678 : -0.5721339 
nnet mean 678 : -0.4297709 
nnet RMSE 678 : 0.1509888 


s: 679 
logit 679 : -0.3318934 
logit mean 679 : -0.3986619 
logit RMSE 679 : 0.0567875 

boosting 679 : -0.7476123 
boosting mean 679 : -0.4967256 
boosting RMSE 679 : 0.1527652 

forest 679 : -0.3905613 
forest mean 679 : -0.3615701 
forest RMSE 679 : 0.06305473 

nnet 679 : -0.2315551 
nnet mean 679 : -0.429479 
nnet RMSE 679 : 0.1510159 


s: 680 
logit 680 : -0.4319317 
logit mean 680 : -0.3987108 
logit RMSE 680 : 0.05675894 

boosting 680 : -0.4274335 
boosting mean 680 : -0.4966237 
boosting RMSE 680 : 0.1526564 

forest 680 : -0.3804547 
forest mean 680 : -0.3615978 
forest RMSE 680 : 0.0630128 

nnet 680 : -0.255449 
nnet mean 680 : -0.4292231 
nnet RMSE 680 : 0.1510066 


s: 681 
logit 681 : -0.3384044 
logit mean 681 : -0.3986223 
logit RMSE 681 : 0.05676634 

boosting 681 : -0.2664796 
boosting mean 681 : -0.4962858 
boosting RMSE 681 : 0.1526301 

forest 681 : -0.3180562 
forest mean 681 : -0.3615339 
forest RMSE 681 : 0.06304477 

nnet 681 : -0.3922579 
nnet mean 681 : -0.4291688 
nnet RMSE 681 : 0.1508960 


s: 682 
logit 682 : -0.3840459 
logit mean 682 : -0.3986009 
logit RMSE 682 : 0.056728 

boosting 682 : -0.3755883 
boosting mean 682 : -0.4961088 
boosting RMSE 682 : 0.1525210 

forest 682 : -0.3718971 
forest mean 682 : -0.3615491 
forest RMSE 682 : 0.06300772 

nnet 682 : -0.4753065 
nnet mean 682 : -0.4292365 
nnet RMSE 682 : 0.1508129 


s: 683 
logit 683 : -0.3893306 
logit mean 683 : -0.3985873 
logit RMSE 683 : 0.05668793 

boosting 683 : -0.3938411 
boosting mean 683 : -0.4959591 
boosting RMSE 683 : 0.1524095 

forest 683 : -0.3109149 
forest mean 683 : -0.3614750 
forest RMSE 683 : 0.06305379 

nnet 683 : -0.4276178 
nnet mean 683 : -0.4292341 
nnet RMSE 683 : 0.1507062 


s: 684 
logit 684 : -0.3506734 
logit mean 684 : -0.3985173 
logit RMSE 684 : 0.05667786 

boosting 684 : -0.5483673 
boosting mean 684 : -0.4960357 
boosting RMSE 684 : 0.1524037 

forest 684 : -0.3354596 
forest mean 684 : -0.3614369 
forest RMSE 684 : 0.06305599 

nnet 684 : -0.4464464 
nnet mean 684 : -0.4292593 
nnet RMSE 684 : 0.1506064 


s: 685 
logit 685 : -0.36241 
logit mean 685 : -0.3984646 
logit RMSE 685 : 0.05665468 

boosting 685 : -0.5116695 
boosting mean 685 : -0.4960585 
boosting RMSE 685 : 0.1523522 

forest 685 : -0.3087348 
forest mean 685 : -0.36136 
forest RMSE 685 : 0.06310636 

nnet 685 : -0.4866677 
nnet mean 685 : -0.4293431 
nnet RMSE 685 : 0.1505329 


s: 686 
logit 686 : -0.3978579 
logit mean 686 : -0.3984637 
logit RMSE 686 : 0.05661343 

boosting 686 : -0.4320883 
boosting mean 686 : -0.4959653 
boosting RMSE 686 : 0.152246 

forest 686 : -0.3582504 
forest mean 686 : -0.3613555 
forest RMSE 686 : 0.06308049 

nnet 686 : -0.4415114 
nnet mean 686 : -0.4293608 
nnet RMSE 686 : 0.1504315 


s: 687 
logit 687 : -0.3625566 
logit mean 687 : -0.3984114 
logit RMSE 687 : 0.05659025 

boosting 687 : -0.5201694 
boosting mean 687 : -0.4960005 
boosting RMSE 687 : 0.1522042 

forest 687 : -0.3282557 
forest mean 687 : -0.3613073 
forest RMSE 687 : 0.06309397 

nnet 687 : -0.4518031 
nnet mean 687 : -0.4293935 
nnet RMSE 687 : 0.1503350 


s: 688 
logit 688 : -0.4345391 
logit mean 688 : -0.3984639 
logit RMSE 688 : 0.05656444 

boosting 688 : -0.5647285 
boosting mean 688 : -0.4961004 
boosting RMSE 688 : 0.1522232 

forest 688 : -0.3899618 
forest mean 688 : -0.3613489 
forest RMSE 688 : 0.06304926 

nnet 688 : -0.5012186 
nnet mean 688 : -0.4294979 
nnet RMSE 688 : 0.1502752 


s: 689 
logit 689 : -0.404741 
logit mean 689 : -0.3984730 
logit RMSE 689 : 0.05652366 

boosting 689 : -0.5630232 
boosting mean 689 : -0.4961975 
boosting RMSE 689 : 0.1522394 

forest 689 : -0.3611323 
forest mean 689 : -0.3613486 
forest RMSE 689 : 0.06302089 

nnet 689 : -0.4834677 
nnet mean 689 : -0.4295762 
nnet RMSE 689 : 0.1501998 


s: 690 
logit 690 : -0.4198325 
logit mean 690 : -0.398504 
logit RMSE 690 : 0.05648773 

boosting 690 : -0.5225139 
boosting mean 690 : -0.4962357 
boosting RMSE 690 : 0.1522005 

forest 690 : -0.3589592 
forest mean 690 : -0.3613451 
forest RMSE 690 : 0.06299458 

nnet 690 : -0.3615895 
nnet mean 690 : -0.4294777 
nnet RMSE 690 : 0.1500980 


s: 691 
logit 691 : -0.3879053 
logit mean 691 : -0.3984887 
logit RMSE 691 : 0.05644872 

boosting 691 : -0.6195629 
boosting mean 691 : -0.4964142 
boosting RMSE 691 : 0.1523195 

forest 691 : -0.3820000 
forest mean 691 : -0.3613750 
forest RMSE 691 : 0.06295271 

nnet 691 : -0.4550604 
nnet mean 691 : -0.4295147 
nnet RMSE 691 : 0.150004 


s: 692 
logit 692 : -0.387149 
logit mean 692 : -0.3984723 
logit RMSE 692 : 0.05641003 

boosting 692 : -0.497117 
boosting mean 692 : -0.4964152 
boosting RMSE 692 : 0.1522542 

forest 692 : -0.455258 
forest mean 692 : -0.3615107 
forest RMSE 692 : 0.06294227 

nnet 692 : -0.3954229 
nnet mean 692 : -0.4294654 
nnet RMSE 692 : 0.1498957 


s: 693 
logit 693 : -0.4451984 
logit mean 693 : -0.3985397 
logit RMSE 693 : 0.05639546 

boosting 693 : -0.4250949 
boosting mean 693 : -0.4963123 
boosting RMSE 693 : 0.1521473 

forest 693 : -0.3378242 
forest mean 693 : -0.3614765 
forest RMSE 693 : 0.06294117 

nnet 693 : -0.4204798 
nnet mean 693 : -0.4294525 
nnet RMSE 693 : 0.1497895 


s: 694 
logit 694 : -0.3433179 
logit mean 694 : -0.3984601 
logit RMSE 694 : 0.05639588 

boosting 694 : -0.5354973 
boosting mean 694 : -0.4963687 
boosting RMSE 694 : 0.1521246 

forest 694 : -0.377699 
forest mean 694 : -0.3614999 
forest RMSE 694 : 0.0629015 

nnet 694 : -0.7193666 
nnet mean 694 : -0.4298702 
nnet RMSE 694 : 0.1501717 


s: 695 
logit 695 : -0.3714089 
logit mean 695 : -0.3984212 
logit RMSE 695 : 0.05636572 

boosting 695 : -0.3200128 
boosting mean 695 : -0.496115 
boosting RMSE 695 : 0.1520454 

forest 695 : -0.377024 
forest mean 695 : -0.3615222 
forest RMSE 695 : 0.06286227 

nnet 695 : -0.2730799 
nnet mean 695 : -0.4296446 
nnet RMSE 695 : 0.1501408 


s: 696 
logit 696 : -0.4960373 
logit mean 696 : -0.3985615 
logit RMSE 696 : 0.05644273 

boosting 696 : -0.5543445 
boosting mean 696 : -0.4961986 
boosting RMSE 696 : 0.1520487 

forest 696 : -0.378908 
forest mean 696 : -0.3615472 
forest RMSE 696 : 0.06282218 

nnet 696 : -0.3496365 
nnet mean 696 : -0.4295296 
nnet RMSE 696 : 0.1500451 


s: 697 
logit 697 : -0.374157 
logit mean 697 : -0.3985264 
logit RMSE 697 : 0.05641072 

boosting 697 : -0.5204951 
boosting mean 697 : -0.4962335 
boosting RMSE 697 : 0.1520082 

forest 697 : -0.3886098 
forest mean 697 : -0.3615860 
forest RMSE 697 : 0.06277858 

nnet 697 : -0.007567756 
nnet mean 697 : -0.4289242 
nnet RMSE 697 : 0.1506724 


s: 698 
logit 698 : -0.3675269 
logit mean 698 : -0.398482 
logit RMSE 698 : 0.05638369 

boosting 698 : -0.5216399 
boosting mean 698 : -0.4962699 
boosting RMSE 698 : 0.151969 

forest 698 : -0.4060639 
forest mean 698 : -0.3616498 
forest RMSE 698 : 0.06273402 

nnet 698 : -0.4917633 
nnet mean 698 : -0.4290143 
nnet RMSE 698 : 0.1506045 


s: 699 
logit 699 : -0.4441543 
logit mean 699 : -0.3985474 
logit RMSE 699 : 0.05636809 

boosting 699 : -0.5271713 
boosting mean 699 : -0.4963141 
boosting RMSE 699 : 0.1519364 

forest 699 : -0.3635709 
forest mean 699 : -0.3616525 
forest RMSE 699 : 0.06270427 

nnet 699 : -0.3228423 
nnet mean 699 : -0.4288624 
nnet RMSE 699 : 0.1505250 


s: 700 
logit 700 : -0.4220867 
logit mean 700 : -0.398581 
logit RMSE 700 : 0.056334 

boosting 700 : -0.4439201 
boosting mean 700 : -0.4962392 
boosting RMSE 700 : 0.1518369 

forest 700 : -0.3921859 
forest mean 700 : -0.3616961 
forest RMSE 700 : 0.06266016 

nnet 700 : -0.6191284 
nnet mean 700 : -0.4291342 
nnet RMSE 700 : 0.1506453 


s: 701 
logit 701 : -0.4514787 
logit mean 701 : -0.3986565 
logit RMSE 701 : 0.05632737 

boosting 701 : -0.5084531 
boosting mean 701 : -0.4962567 
boosting RMSE 701 : 0.1517839 

forest 701 : -0.2850327 
forest mean 701 : -0.3615868 
forest RMSE 701 : 0.06276583 

nnet 701 : -0.4044506 
nnet mean 701 : -0.429099 
nnet RMSE 701 : 0.1505379 


s: 702 
logit 702 : -0.4206821 
logit mean 702 : -0.3986878 
logit RMSE 702 : 0.05629265 

boosting 702 : -0.6453272 
boosting mean 702 : -0.496469 
boosting RMSE 702 : 0.1519581 

forest 702 : -0.3544001 
forest mean 702 : -0.3615765 
forest RMSE 702 : 0.06274472 

nnet 702 : -0.3198679 
nnet mean 702 : -0.4289434 
nnet RMSE 702 : 0.1504611 


s: 703 
logit 703 : -0.4395894 
logit mean 703 : -0.398746 
logit RMSE 703 : 0.05627241 

boosting 703 : -0.5127123 
boosting mean 703 : -0.4964921 
boosting RMSE 703 : 0.1519095 

forest 703 : -0.4203456 
forest mean 703 : -0.3616601 
forest RMSE 703 : 0.06270477 

nnet 703 : -0.4185075 
nnet mean 703 : -0.4289285 
nnet RMSE 703 : 0.1503556 


s: 704 
logit 704 : -0.454735 
logit mean 704 : -0.3988255 
logit RMSE 704 : 0.05627026 

boosting 704 : -0.3487454 
boosting mean 704 : -0.4962823 
boosting RMSE 704 : 0.1518138 

forest 704 : -0.3658915 
forest mean 704 : -0.3616661 
forest RMSE 704 : 0.06267341 

nnet 704 : -0.3698574 
nnet mean 704 : -0.4288446 
nnet RMSE 704 : 0.1502531 


s: 705 
logit 705 : -0.411077 
logit mean 705 : -0.3988429 
logit RMSE 705 : 0.05623189 

boosting 705 : -0.484427 
boosting mean 705 : -0.4962654 
boosting RMSE 705 : 0.1517394 

forest 705 : -0.3055870 
forest mean 705 : -0.3615866 
forest RMSE 705 : 0.0627298 

nnet 705 : -0.5078097 
nnet mean 705 : -0.4289566 
nnet RMSE 705 : 0.1502014 


s: 706 
logit 706 : -0.391678 
logit mean 706 : -0.3988328 
logit RMSE 706 : 0.05619292 

boosting 706 : -0.5107348 
boosting mean 706 : -0.4962859 
boosting RMSE 706 : 0.1516892 

forest 706 : -0.3598346 
forest mean 706 : -0.3615841 
forest RMSE 706 : 0.06270359 

nnet 706 : -0.4883041 
nnet mean 706 : -0.4290407 
nnet RMSE 706 : 0.1501318 


s: 707 
logit 707 : -0.3262320 
logit mean 707 : -0.3987301 
logit RMSE 707 : 0.05622166 

boosting 707 : -0.3450031 
boosting mean 707 : -0.496072 
boosting RMSE 707 : 0.1515960 

forest 707 : -0.3969925 
forest mean 707 : -0.3616342 
forest RMSE 707 : 0.06265933 

nnet 707 : -0.5075971 
nnet mean 707 : -0.4291518 
nnet RMSE 707 : 0.1500801 


s: 708 
logit 708 : -0.4101406 
logit mean 708 : -0.3987462 
logit RMSE 708 : 0.05618323 

boosting 708 : -0.4157044 
boosting mean 708 : -0.4959584 
boosting RMSE 708 : 0.1514900 

forest 708 : -0.3642629 
forest mean 708 : -0.3616379 
forest RMSE 708 : 0.06262946 

nnet 708 : -0.5592059 
nnet mean 708 : -0.4293355 
nnet RMSE 708 : 0.1500934 


s: 709 
logit 709 : -0.3446779 
logit mean 709 : -0.3986699 
logit RMSE 709 : 0.05618203 

boosting 709 : -0.5829814 
boosting mean 709 : -0.4960812 
boosting RMSE 709 : 0.1515391 

forest 709 : -0.3115698 
forest mean 709 : -0.3615673 
forest RMSE 709 : 0.06267333 

nnet 709 : -0.5491375 
nnet mean 709 : -0.4295045 
nnet RMSE 709 : 0.1500920 


s: 710 
logit 710 : -0.3349326 
logit mean 710 : -0.3985802 
logit RMSE 710 : 0.05619553 

boosting 710 : -0.445368 
boosting mean 710 : -0.4960098 
boosting RMSE 710 : 0.1514419 

forest 710 : -0.4452525 
forest mean 710 : -0.3616852 
forest RMSE 710 : 0.0626522 

nnet 710 : -0.6717043 
nnet mean 710 : -0.4298456 
nnet RMSE 710 : 0.1503325 


s: 711 
logit 711 : -0.4423717 
logit mean 711 : -0.3986418 
logit RMSE 711 : 0.05617848 

boosting 711 : -0.4330518 
boosting mean 711 : -0.4959212 
boosting RMSE 711 : 0.1513404 

forest 711 : -0.4387822 
forest mean 711 : -0.3617936 
forest RMSE 711 : 0.06262502 

nnet 711 : -0.4809675 
nnet mean 711 : -0.4299175 
nnet RMSE 711 : 0.1502575 


s: 712 
logit 712 : -0.4356936 
logit mean 712 : -0.3986938 
logit RMSE 712 : 0.05615495 

boosting 712 : -0.5247554 
boosting mean 712 : -0.4959617 
boosting RMSE 712 : 0.1513064 

forest 712 : -0.3651716 
forest mean 712 : -0.3617983 
forest RMSE 712 : 0.06259464 

nnet 712 : -0.6793507 
nnet mean 712 : -0.4302678 
nnet RMSE 712 : 0.1505164 


s: 713 
logit 713 : -0.4011241 
logit mean 713 : -0.3986972 
logit RMSE 713 : 0.05611557 

boosting 713 : -0.4473565 
boosting mean 713 : -0.4958935 
boosting RMSE 713 : 0.1512106 

forest 713 : -0.3283895 
forest mean 713 : -0.3617515 
forest RMSE 713 : 0.06260819 

nnet 713 : -0.3976164 
nnet mean 713 : -0.430222 
nnet RMSE 713 : 0.1504109 


s: 714 
logit 714 : -0.3698242 
logit mean 714 : -0.3986568 
logit RMSE 714 : 0.05608763 

boosting 714 : -0.498371 
boosting mean 714 : -0.495897 
boosting RMSE 714 : 0.1511495 

forest 714 : -0.4124369 
forest mean 714 : -0.3618225 
forest RMSE 714 : 0.06256606 

nnet 714 : -0.141094 
nnet mean 714 : -0.4298171 
nnet RMSE 714 : 0.1506175 


s: 715 
logit 715 : -0.3667409 
logit mean 715 : -0.3986121 
logit RMSE 715 : 0.05606219 

boosting 715 : -0.55753 
boosting mean 715 : -0.4959832 
boosting RMSE 715 : 0.1511586 

forest 715 : -0.4398011 
forest mean 715 : -0.3619315 
forest RMSE 715 : 0.06254001 

nnet 715 : -0.3788794 
nnet mean 715 : -0.4297459 
nnet RMSE 715 : 0.1505142 


s: 716 
logit 716 : -0.3627202 
logit mean 716 : -0.398562 
logit RMSE 716 : 0.05604035 

boosting 716 : -0.4314455 
boosting mean 716 : -0.4958931 
boosting RMSE 716 : 0.1510576 

forest 716 : -0.3262821 
forest mean 716 : -0.3618817 
forest RMSE 716 : 0.06255702 

nnet 716 : -0.6892708 
nnet mean 716 : -0.4301083 
nnet RMSE 716 : 0.1507971 


s: 717 
logit 717 : -0.3681384 
logit mean 717 : -0.3985196 
logit RMSE 717 : 0.0560139 

boosting 717 : -0.4366472 
boosting mean 717 : -0.4958104 
boosting RMSE 717 : 0.1509584 

forest 717 : -0.2841016 
forest mean 717 : -0.3617733 
forest RMSE 717 : 0.06266304 

nnet 717 : -0.3403391 
nnet mean 717 : -0.4299831 
nnet RMSE 717 : 0.1507083 


s: 718 
logit 718 : -0.3865122 
logit mean 718 : -0.3985029 
logit RMSE 718 : 0.05597714 

boosting 718 : -0.2803459 
boosting mean 718 : -0.4955103 
boosting RMSE 718 : 0.1509194 

forest 718 : -0.3234038 
forest mean 718 : -0.3617198 
forest RMSE 718 : 0.0626846 

nnet 718 : -0.1172522 
nnet mean 718 : -0.4295476 
nnet RMSE 718 : 0.1509726 


s: 719 
logit 719 : -0.3995876 
logit mean 719 : -0.3985044 
logit RMSE 719 : 0.0559382 

boosting 719 : -0.4990231 
boosting mean 719 : -0.4955152 
boosting RMSE 719 : 0.1508596 

forest 719 : -0.3630619 
forest mean 719 : -0.3617217 
forest RMSE 719 : 0.06265614 

nnet 719 : -0.3811244 
nnet mean 719 : -0.4294802 
nnet RMSE 719 : 0.1508692 


s: 720 
logit 720 : -0.4006059 
logit mean 720 : -0.3985073 
logit RMSE 720 : 0.05589934 

boosting 720 : -0.369566 
boosting mean 720 : -0.4953403 
boosting RMSE 720 : 0.1507590 

forest 720 : -0.2970872 
forest mean 720 : -0.3616319 
forest RMSE 720 : 0.06272997 

nnet 720 : -0.6315826 
nnet mean 720 : -0.4297609 
nnet RMSE 720 : 0.1510112 


s: 721 
logit 721 : -0.3820712 
logit mean 721 : -0.3984845 
logit RMSE 721 : 0.05586456 

boosting 721 : -0.3453414 
boosting mean 721 : -0.4951323 
boosting RMSE 721 : 0.1506682 

forest 721 : -0.3983374 
forest mean 721 : -0.3616828 
forest RMSE 721 : 0.06268648 

nnet 721 : -0.5332438 
nnet mean 721 : -0.4299044 
nnet RMSE 721 : 0.150988 


s: 722 
logit 722 : -0.4099858 
logit mean 722 : -0.3985004 
logit RMSE 722 : 0.05582709 

boosting 722 : -0.6491642 
boosting mean 722 : -0.4953456 
boosting RMSE 722 : 0.1508491 

forest 722 : -0.3682769 
forest mean 722 : -0.3616920 
forest RMSE 722 : 0.06265418 

nnet 722 : -0.5296447 
nnet mean 722 : -0.4300426 
nnet RMSE 722 : 0.1509605 


s: 723 
logit 723 : -0.4201758 
logit mean 723 : -0.3985304 
logit RMSE 723 : 0.05579352 

boosting 723 : -0.4042239 
boosting mean 723 : -0.4952196 
boosting RMSE 723 : 0.1507448 

forest 723 : -0.3817931 
forest mean 723 : -0.3617198 
forest RMSE 723 : 0.0626145 

nnet 723 : -0.4899943 
nnet mean 723 : -0.4301255 
nnet RMSE 723 : 0.1508932 


s: 724 
logit 724 : -0.3295565 
logit mean 724 : -0.3984351 
logit RMSE 724 : 0.0558164 

boosting 724 : -0.3742171 
boosting mean 724 : -0.4950524 
boosting RMSE 724 : 0.1506437 

forest 724 : -0.3445983 
forest mean 724 : -0.3616961 
forest RMSE 724 : 0.06260511 

nnet 724 : -0.2403041 
nnet mean 724 : -0.4298633 
nnet RMSE 724 : 0.1509057 


s: 725 
logit 725 : -0.6027879 
logit mean 725 : -0.398717 
logit RMSE 725 : 0.05628406 

boosting 725 : -0.6453224 
boosting mean 725 : -0.4952597 
boosting RMSE 725 : 0.1508153 

forest 725 : -0.426035 
forest mean 725 : -0.3617849 
forest RMSE 725 : 0.06256939 

nnet 725 : -0.5664041 
nnet mean 725 : -0.4300516 
nnet RMSE 725 : 0.1509282 


s: 726 
logit 726 : -0.4221283 
logit mean 726 : -0.3987492 
logit RMSE 726 : 0.05625128 

boosting 726 : -0.5226038 
boosting mean 726 : -0.4952974 
boosting RMSE 726 : 0.1507800 

forest 726 : -0.4309599 
forest mean 726 : -0.3618801 
forest RMSE 726 : 0.06253684 

nnet 726 : -0.2357543 
nnet mean 726 : -0.429784 
nnet RMSE 726 : 0.1509474 


s: 727 
logit 727 : -0.2862923 
logit mean 727 : -0.3985946 
logit RMSE 727 : 0.05637054 

boosting 727 : -0.6068115 
boosting mean 727 : -0.4954508 
boosting RMSE 727 : 0.1508714 

forest 727 : -0.3384571 
forest mean 727 : -0.3618479 
forest RMSE 727 : 0.06253548 

nnet 727 : -0.5774084 
nnet mean 727 : -0.4299871 
nnet RMSE 727 : 0.1509869 


s: 728 
logit 728 : -0.3416721 
logit mean 728 : -0.3985164 
logit RMSE 728 : 0.05637328 

boosting 728 : -0.4980358 
boosting mean 728 : -0.4954543 
boosting RMSE 728 : 0.1508115 

forest 728 : -0.3652596 
forest mean 728 : -0.3618526 
forest RMSE 728 : 0.06250578 

nnet 728 : -0.5283426 
nnet mean 728 : -0.4301222 
nnet RMSE 728 : 0.1509582 


s: 729 
logit 729 : -0.3683489 
logit mean 729 : -0.398475 
logit RMSE 729 : 0.0563468 

boosting 729 : -0.5642808 
boosting mean 729 : -0.4955487 
boosting RMSE 729 : 0.1508308 

forest 729 : -0.4409295 
forest mean 729 : -0.3619611 
forest RMSE 729 : 0.06248129 

nnet 729 : -0.6401191 
nnet mean 729 : -0.4304102 
nnet RMSE 729 : 0.1511165 


s: 730 
logit 730 : -0.3189513 
logit mean 730 : -0.3983660 
logit RMSE 730 : 0.05638804 

boosting 730 : -0.4608146 
boosting mean 730 : -0.4955011 
boosting RMSE 730 : 0.1507443 

forest 730 : -0.2305270 
forest mean 730 : -0.3617810 
forest RMSE 730 : 0.06275275 

nnet 730 : -0.4635512 
nnet mean 730 : -0.4304556 
nnet RMSE 730 : 0.1510313 


s: 731 
logit 731 : -0.4243941 
logit mean 731 : -0.3984016 
logit RMSE 731 : 0.05635668 

boosting 731 : -0.6403796 
boosting mean 731 : -0.4956993 
boosting RMSE 731 : 0.1509033 

forest 731 : -0.4411492 
forest mean 731 : -0.3618896 
forest RMSE 731 : 0.06272827 

nnet 731 : -0.4712089 
nnet mean 731 : -0.4305114 
nnet RMSE 731 : 0.1509509 


s: 732 
logit 732 : -0.386782 
logit mean 732 : -0.3983858 
logit RMSE 732 : 0.05632029 

boosting 732 : -0.4866173 
boosting mean 732 : -0.4956869 
boosting RMSE 732 : 0.1508342 

forest 732 : -0.3891887 
forest mean 732 : -0.3619269 
forest RMSE 732 : 0.06268669 

nnet 732 : -0.5060885 
nnet mean 732 : -0.4306146 
nnet RMSE 732 : 0.1508987 


s: 733 
logit 733 : -0.3678665 
logit mean 733 : -0.3983441 
logit RMSE 733 : 0.05629437 

boosting 733 : -0.4548813 
boosting mean 733 : -0.4956313 
boosting RMSE 733 : 0.1507449 

forest 733 : -0.3377421 
forest mean 733 : -0.3618939 
forest RMSE 733 : 0.0626861 

nnet 733 : -0.4249747 
nnet mean 733 : -0.4306069 
nnet RMSE 733 : 0.1507986 


s: 734 
logit 734 : -0.3806032 
logit mean 734 : -0.39832 
logit RMSE 734 : 0.05626057 

boosting 734 : -0.52797 
boosting mean 734 : -0.4956753 
boosting RMSE 734 : 0.1507162 

forest 734 : -0.3102693 
forest mean 734 : -0.3618236 
forest RMSE 734 : 0.06273088 

nnet 734 : -0.5032279 
nnet mean 734 : -0.4307059 
nnet RMSE 734 : 0.150744 


s: 735 
logit 735 : -0.3794584 
logit mean 735 : -0.3982943 
logit RMSE 735 : 0.05622739 

boosting 735 : -0.5138103 
boosting mean 735 : -0.4957 
boosting RMSE 735 : 0.1506721 

forest 735 : -0.3692298 
forest mean 735 : -0.3618337 
forest RMSE 735 : 0.06269847 

nnet 735 : -0.457176 
nnet mean 735 : -0.4307419 
nnet RMSE 735 : 0.1506562 


s: 736 
logit 736 : -0.4108825 
logit mean 736 : -0.3983114 
logit RMSE 736 : 0.05619061 

boosting 736 : -0.4856855 
boosting mean 736 : -0.4956864 
boosting RMSE 736 : 0.1506028 

forest 736 : -0.3401624 
forest mean 736 : -0.3618042 
forest RMSE 736 : 0.06269467 

nnet 736 : -0.4737422 
nnet mean 736 : -0.4308003 
nnet RMSE 736 : 0.1505783 


s: 737 
logit 737 : -0.3018217 
logit mean 737 : -0.3981805 
logit RMSE 737 : 0.05626881 

boosting 737 : -0.623414 
boosting mean 737 : -0.4958597 
boosting RMSE 737 : 0.1507255 

forest 737 : -0.3489274 
forest mean 737 : -0.3617867 
forest RMSE 737 : 0.06268036 

nnet 737 : -0.5244881 
nnet mean 737 : -0.4309274 
nnet RMSE 737 : 0.1505460 


s: 738 
logit 738 : -0.4133977 
logit mean 738 : -0.3982011 
logit RMSE 738 : 0.05623284 

boosting 738 : -0.4448114 
boosting mean 738 : -0.4957905 
boosting RMSE 738 : 0.1506323 

forest 738 : -0.4785795 
forest mean 738 : -0.361945 
forest RMSE 738 : 0.06270463 

nnet 738 : -0.2512761 
nnet mean 738 : -0.430684 
nnet RMSE 738 : 0.1505435 


s: 739 
logit 739 : -0.4524645 
logit mean 739 : -0.3982745 
logit RMSE 739 : 0.05622791 

boosting 739 : -0.5409595 
boosting mean 739 : -0.4958516 
boosting RMSE 739 : 0.1506197 

forest 739 : -0.3341128 
forest mean 739 : -0.3619073 
forest RMSE 739 : 0.06270905 

nnet 739 : -0.4253097 
nnet mean 739 : -0.4306767 
nnet RMSE 739 : 0.1504445 


s: 740 
logit 740 : -0.4424147 
logit mean 740 : -0.3983342 
logit RMSE 740 : 0.05621153 

boosting 740 : -0.4888235 
boosting mean 740 : -0.4958421 
boosting RMSE 740 : 0.1505533 

forest 740 : -0.359057 
forest mean 740 : -0.3619035 
forest RMSE 740 : 0.06268473 

nnet 740 : -0.3403614 
nnet mean 740 : -0.4305547 
nnet RMSE 740 : 0.1503588 


s: 741 
logit 741 : -0.3657308 
logit mean 741 : -0.3982902 
logit RMSE 741 : 0.05618769 

boosting 741 : -0.4992247 
boosting mean 741 : -0.4958467 
boosting RMSE 741 : 0.1504958 

forest 741 : -0.3683243 
forest mean 741 : -0.3619121 
forest RMSE 741 : 0.06265323 

nnet 741 : -0.5411491 
nnet mean 741 : -0.4307039 
nnet RMSE 741 : 0.1503468 


s: 742 
logit 742 : -0.3078317 
logit mean 742 : -0.3981683 
logit RMSE 742 : 0.05625167 

boosting 742 : -0.2530659 
boosting mean 742 : -0.4955195 
boosting RMSE 742 : 0.1504911 

forest 742 : -0.442997 
forest mean 742 : -0.3620214 
forest RMSE 742 : 0.06263089 

nnet 742 : -0.2201665 
nnet mean 742 : -0.4304202 
nnet RMSE 742 : 0.1503904 


s: 743 
logit 743 : -0.3943997 
logit mean 743 : -0.3981632 
logit RMSE 743 : 0.05621418 

boosting 743 : -0.5383556 
boosting mean 743 : -0.4955772 
boosting RMSE 743 : 0.1504754 

forest 743 : -0.4458214 
forest mean 743 : -0.3621342 
forest RMSE 743 : 0.0626113 

nnet 743 : -0.3688159 
nnet mean 743 : -0.4303373 
nnet RMSE 743 : 0.1502935 


s: 744 
logit 744 : -0.3536656 
logit mean 744 : -0.3981034 
logit RMSE 744 : 0.05620207 

boosting 744 : -0.4790043 
boosting mean 744 : -0.4955549 
boosting RMSE 744 : 0.1504021 

forest 744 : -0.3392574 
forest mean 744 : -0.3621035 
forest RMSE 744 : 0.06260882 

nnet 744 : -0.3632367 
nnet mean 744 : -0.4302471 
nnet RMSE 744 : 0.1501985 


s: 745 
logit 745 : -0.3506887 
logit mean 745 : -0.3980397 
logit RMSE 745 : 0.05619339 

boosting 745 : -0.5684818 
boosting mean 745 : -0.4956528 
boosting RMSE 745 : 0.1504278 

forest 745 : -0.3250234 
forest mean 745 : -0.3620537 
forest RMSE 745 : 0.06262706 

nnet 745 : -0.632159 
nnet mean 745 : -0.4305181 
nnet RMSE 745 : 0.1503385 


s: 746 
logit 746 : -0.3739172 
logit mean 746 : -0.3980074 
logit RMSE 746 : 0.05616383 

boosting 746 : -0.4972665 
boosting mean 746 : -0.4956549 
boosting RMSE 746 : 0.1503692 

forest 746 : -0.3639639 
forest mean 746 : -0.3620563 
forest RMSE 746 : 0.06259898 

nnet 746 : -0.666849 
nnet mean 746 : -0.4308349 
nnet RMSE 746 : 0.1505550 


s: 747 
logit 747 : -0.3635352 
logit mean 747 : -0.3979613 
logit RMSE 747 : 0.05614208 

boosting 747 : -0.5491032 
boosting mean 747 : -0.4957265 
boosting RMSE 747 : 0.1503675 

forest 747 : -0.3555350 
forest mean 747 : -0.3620475 
forest RMSE 747 : 0.06257821 

nnet 747 : -0.3484181 
nnet mean 747 : -0.4307246 
nnet RMSE 747 : 0.1504661 


s: 748 
logit 748 : -0.4401049 
logit mean 748 : -0.3980176 
logit RMSE 748 : 0.0561237 

boosting 748 : -0.5102165 
boosting mean 748 : -0.4957459 
boosting RMSE 748 : 0.1503210 

forest 748 : -0.3629549 
forest mean 748 : -0.3620487 
forest RMSE 748 : 0.06255104 

nnet 748 : -0.4029145 
nnet mean 748 : -0.4306874 
nnet RMSE 748 : 0.1503655 


s: 749 
logit 749 : -0.4398616 
logit mean 749 : -0.3980735 
logit RMSE 749 : 0.05610513 

boosting 749 : -0.537065 
boosting mean 749 : -0.495801 
boosting RMSE 749 : 0.1503040 

forest 749 : -0.3436554 
forest mean 749 : -0.3620242 
forest RMSE 749 : 0.06254316 

nnet 749 : -0.3439358 
nnet mean 749 : -0.4305716 
nnet RMSE 749 : 0.1502790 


s: 750 
logit 750 : -0.4490213 
logit mean 750 : -0.3981414 
logit RMSE 750 : 0.05609628 

boosting 750 : -0.7874924 
boosting mean 750 : -0.49619 
boosting RMSE 750 : 0.1508688 

forest 750 : -0.3897954 
forest mean 750 : -0.3620612 
forest RMSE 750 : 0.06250256 

nnet 750 : -0.4140643 
nnet mean 750 : -0.4305496 
nnet RMSE 750 : 0.1501797 


s: 751 
logit 751 : -0.4025699 
logit mean 751 : -0.3981473 
logit RMSE 751 : 0.056059 

boosting 751 : -0.5893118 
boosting mean 751 : -0.4963139 
boosting RMSE 751 : 0.1509265 

forest 751 : -0.3716865 
forest mean 751 : -0.362074 
forest RMSE 751 : 0.06246948 

nnet 751 : -0.609431 
nnet mean 751 : -0.4307878 
nnet RMSE 751 : 0.1502741 


s: 752 
logit 752 : -0.4782934 
logit mean 752 : -0.3982539 
logit RMSE 752 : 0.05609442 

boosting 752 : -0.7168522 
boosting mean 752 : -0.4966072 
boosting RMSE 752 : 0.151268 

forest 752 : -0.3830172 
forest mean 752 : -0.3621019 
forest RMSE 752 : 0.062431 

nnet 752 : -0.7449901 
nnet mean 752 : -0.4312056 
nnet RMSE 752 : 0.1507002 


s: 753 
logit 753 : -0.3556537 
logit mean 753 : -0.3981973 
logit RMSE 753 : 0.05608045 

boosting 753 : -0.4498253 
boosting mean 753 : -0.4965451 
boosting RMSE 753 : 0.1511784 

forest 753 : -0.3939265 
forest mean 753 : -0.3621441 
forest RMSE 753 : 0.06238993 

nnet 753 : -0.2583263 
nnet mean 753 : -0.430976 
nnet RMSE 753 : 0.1506886 


s: 754 
logit 754 : -0.3559629 
logit mean 754 : -0.3981413 
logit RMSE 754 : 0.05606619 

boosting 754 : -0.4045681 
boosting mean 754 : -0.4964231 
boosting RMSE 754 : 0.1510782 

forest 754 : -0.3485285 
forest mean 754 : -0.3621261 
forest RMSE 754 : 0.06237671 

nnet 754 : -0.569743 
nnet mean 754 : -0.43116 
nnet RMSE 754 : 0.1507154 


s: 755 
logit 755 : -0.4521444 
logit mean 755 : -0.3982128 
logit RMSE 755 : 0.05606118 

boosting 755 : -0.6290047 
boosting mean 755 : -0.4965987 
boosting RMSE 755 : 0.151208 

forest 755 : -0.2911305 
forest mean 755 : -0.3620320 
forest RMSE 755 : 0.06246118 

nnet 755 : -0.1307541 
nnet mean 755 : -0.4307622 
nnet RMSE 755 : 0.150934 


s: 756 
logit 756 : -0.448811 
logit mean 756 : -0.3982797 
logit RMSE 756 : 0.0560522 

boosting 756 : -0.5633421 
boosting mean 756 : -0.496687 
boosting RMSE 756 : 0.1512247 

forest 756 : -0.3346796 
forest mean 756 : -0.3619959 
forest RMSE 756 : 0.06246505 

nnet 756 : -0.5381654 
nnet mean 756 : -0.4309042 
nnet RMSE 756 : 0.1509178 


s: 757 
logit 757 : -0.4966981 
logit mean 757 : -0.3984098 
logit RMSE 757 : 0.05612532 

boosting 757 : -0.4920423 
boosting mean 757 : -0.4966809 
boosting RMSE 757 : 0.1511618 

forest 757 : -0.4297964 
forest mean 757 : -0.3620854 
forest RMSE 757 : 0.06243317 

nnet 757 : -0.3343945 
nnet mean 757 : -0.4307767 
nnet RMSE 757 : 0.1508370 


s: 758 
logit 758 : -0.3865984 
logit mean 758 : -0.3983942 
logit RMSE 758 : 0.0560904 

boosting 758 : -0.2330014 
boosting mean 758 : -0.496333 
boosting RMSE 758 : 0.1511838 

forest 758 : -0.3630286 
forest mean 758 : -0.3620867 
forest RMSE 758 : 0.06240643 

nnet 758 : -0.3783927 
nnet mean 758 : -0.4307076 
nnet RMSE 758 : 0.1507395 


s: 759 
logit 759 : -0.392868 
logit mean 759 : -0.3983869 
logit RMSE 759 : 0.05605403 

boosting 759 : -0.2879802 
boosting mean 759 : -0.4960585 
boosting RMSE 759 : 0.1511389 

forest 759 : -0.3657026 
forest mean 759 : -0.3620914 
forest RMSE 759 : 0.06237773 

nnet 759 : -0.4661418 
nnet mean 759 : -0.4307543 
nnet RMSE 759 : 0.1506593 


s: 760 
logit 760 : -0.4271419 
logit mean 760 : -0.3984247 
logit RMSE 760 : 0.05602579 

boosting 760 : -0.5894088 
boosting mean 760 : -0.4961813 
boosting RMSE 760 : 0.1511956 

forest 760 : -0.2491851 
forest mean 760 : -0.3619429 
forest RMSE 760 : 0.06257626 

nnet 760 : -0.3424160 
nnet mean 760 : -0.4306381 
nnet RMSE 760 : 0.1505746 


s: 761 
logit 761 : -0.4571705 
logit mean 761 : -0.3985019 
logit RMSE 761 : 0.05602731 

boosting 761 : -0.5832662 
boosting mean 761 : -0.4962958 
boosting RMSE 761 : 0.1512422 

forest 761 : -0.3084926 
forest mean 761 : -0.3618726 
forest RMSE 761 : 0.06262305 

nnet 761 : -0.5116112 
nnet mean 761 : -0.4307445 
nnet RMSE 761 : 0.1505300 


s: 762 
logit 762 : -0.3875117 
logit mean 762 : -0.3984875 
logit RMSE 762 : 0.05599236 

boosting 762 : -0.5887249 
boosting mean 762 : -0.496417 
boosting RMSE 762 : 0.1512975 

forest 762 : -0.3520777 
forest mean 762 : -0.3618598 
forest RMSE 762 : 0.06260602 

nnet 762 : -0.5549165 
nnet mean 762 : -0.4309074 
nnet RMSE 762 : 0.1505359 


s: 763 
logit 763 : -0.4840802 
logit mean 763 : -0.3985997 
logit RMSE 763 : 0.05603839 

boosting 763 : -0.5223443 
boosting mean 763 : -0.496451 
boosting RMSE 763 : 0.1512632 

forest 763 : -0.3473854 
forest mean 763 : -0.3618408 
forest RMSE 763 : 0.06259397 

nnet 763 : -0.4571779 
nnet mean 763 : -0.4309419 
nnet RMSE 763 : 0.1504514 


s: 764 
logit 764 : -0.3884264 
logit mean 764 : -0.3985864 
logit RMSE 764 : 0.05600327 

boosting 764 : -0.5309565 
boosting mean 764 : -0.4964962 
boosting RMSE 764 : 0.1512384 

forest 764 : -0.3195788 
forest mean 764 : -0.3617855 
forest RMSE 764 : 0.06262062 

nnet 764 : -0.4354449 
nnet mean 764 : -0.4309478 
nnet RMSE 764 : 0.1503584 


s: 765 
logit 765 : -0.4078731 
logit mean 765 : -0.3985985 
logit RMSE 765 : 0.05596738 

boosting 765 : -0.3995003 
boosting mean 765 : -0.4963694 
boosting RMSE 765 : 0.1511395 

forest 765 : -0.3067540 
forest mean 765 : -0.3617136 
forest RMSE 765 : 0.06267042 

nnet 765 : -0.2277015 
nnet mean 765 : -0.4306821 
nnet RMSE 765 : 0.1503892 


s: 766 
logit 766 : -0.4268369 
logit mean 766 : -0.3986354 
logit RMSE 766 : 0.05593924 

boosting 766 : -0.4881994 
boosting mean 766 : -0.4963587 
boosting RMSE 766 : 0.1510744 

forest 766 : -0.3746085 
forest mean 766 : -0.3617304 
forest RMSE 766 : 0.06263622 

nnet 766 : -0.4835782 
nnet mean 766 : -0.4307511 
nnet RMSE 766 : 0.1503213 


s: 767 
logit 767 : -0.386091 
logit mean 767 : -0.398619 
logit RMSE 767 : 0.05590502 

boosting 767 : -0.5782483 
boosting mean 767 : -0.4964655 
boosting RMSE 767 : 0.151113 

forest 767 : -0.335442 
forest mean 767 : -0.3616961 
forest RMSE 767 : 0.06263877 

nnet 767 : -0.2217954 
nnet mean 767 : -0.4304787 
nnet RMSE 767 : 0.1503610 


s: 768 
logit 768 : -0.3511025 
logit mean 768 : -0.3985571 
logit RMSE 768 : 0.05589646 

boosting 768 : -0.4103045 
boosting mean 768 : -0.4963533 
boosting RMSE 768 : 0.1510151 

forest 768 : -0.3781634 
forest mean 768 : -0.3617176 
forest RMSE 768 : 0.06260293 

nnet 768 : -0.3912746 
nnet mean 768 : -0.4304277 
nnet RMSE 768 : 0.1502634 


s: 769 
logit 769 : -0.3625260 
logit mean 769 : -0.3985103 
logit RMSE 769 : 0.05587645 

boosting 769 : -0.534472 
boosting mean 769 : -0.4964029 
boosting RMSE 769 : 0.1509947 

forest 769 : -0.4154034 
forest mean 769 : -0.3617874 
forest RMSE 769 : 0.06256468 

nnet 769 : -0.3604179 
nnet mean 769 : -0.4303366 
nnet RMSE 769 : 0.1501725 


s: 770 
logit 770 : -0.3151322 
logit mean 770 : -0.398402 
logit RMSE 770 : 0.05592385 

boosting 770 : -0.519628 
boosting mean 770 : -0.496433 
boosting RMSE 770 : 0.1509582 

forest 770 : -0.3756438 
forest mean 770 : -0.3618054 
forest RMSE 770 : 0.0625302 

nnet 770 : -0.3180680 
nnet mean 770 : -0.4301908 
nnet RMSE 770 : 0.150104 


s: 771 
logit 771 : -0.4228447 
logit mean 771 : -0.3984337 
logit RMSE 771 : 0.05589363 

boosting 771 : -0.4174279 
boosting mean 771 : -0.4963306 
boosting RMSE 771 : 0.1508616 

forest 771 : -0.3771846 
forest mean 771 : -0.3618253 
forest RMSE 771 : 0.06249504 

nnet 771 : -0.6150303 
nnet mean 771 : -0.4304305 
nnet RMSE 771 : 0.1502064 


s: 772 
logit 772 : -0.3653592 
logit mean 772 : -0.3983909 
logit RMSE 772 : 0.05587133 

boosting 772 : -0.3378233 
boosting mean 772 : -0.4961253 
boosting RMSE 772 : 0.1507805 

forest 772 : -0.4491267 
forest mean 772 : -0.3619384 
forest RMSE 772 : 0.06247957 

nnet 772 : -0.4273511 
nnet mean 772 : -0.4304266 
nnet RMSE 772 : 0.1501123 


s: 773 
logit 773 : -0.505609 
logit mean 773 : -0.3985296 
logit RMSE 773 : 0.05596423 

boosting 773 : -0.4828263 
boosting mean 773 : -0.496108 
boosting RMSE 773 : 0.1507123 

forest 773 : -0.4948552 
forest mean 773 : -0.3621104 
forest RMSE 773 : 0.06253228 

nnet 773 : -0.1755272 
nnet mean 773 : -0.4300968 
nnet RMSE 773 : 0.1502323 


s: 774 
logit 774 : -0.3479543 
logit mean 774 : -0.3984642 
logit RMSE 774 : 0.05595935 

boosting 774 : -0.4809624 
boosting mean 774 : -0.4960885 
boosting RMSE 774 : 0.1506431 

forest 774 : -0.2956061 
forest mean 774 : -0.3620244 
forest RMSE 774 : 0.06260443 

nnet 774 : -0.3507104 
nnet mean 774 : -0.4299942 
nnet RMSE 774 : 0.1501456 


s: 775 
logit 775 : -0.3340565 
logit mean 775 : -0.3983811 
logit RMSE 775 : 0.05597338 

boosting 775 : -0.6176689 
boosting mean 775 : -0.4962454 
boosting RMSE 775 : 0.1507488 

forest 775 : -0.3619534 
forest mean 775 : -0.3620243 
forest RMSE 775 : 0.06257895 

nnet 775 : -0.4712167 
nnet mean 775 : -0.4300474 
nnet RMSE 775 : 0.1500705 


s: 776 
logit 776 : -0.3916196 
logit mean 776 : -0.3983724 
logit RMSE 776 : 0.05593811 

boosting 776 : -0.4761036 
boosting mean 776 : -0.4962194 
boosting RMSE 776 : 0.1506764 

forest 776 : -0.3601592 
forest mean 776 : -0.3620219 
forest RMSE 776 : 0.06255497 

nnet 776 : -0.507928 
nnet mean 776 : -0.4301478 
nnet RMSE 776 : 0.1500239 


s: 777 
logit 777 : -0.4209264 
logit mean 777 : -0.3984014 
logit RMSE 777 : 0.05590714 

boosting 777 : -0.4092239 
boosting mean 777 : -0.4961074 
boosting RMSE 777 : 0.1505797 

forest 777 : -0.4567678 
forest mean 777 : -0.3621439 
forest RMSE 777 : 0.06254787 

nnet 777 : -0.3887594 
nnet mean 777 : -0.4300945 
nnet RMSE 777 : 0.1499278 


s: 778 
logit 778 : -0.4013446 
logit mean 778 : -0.3984052 
logit RMSE 778 : 0.05587122 

boosting 778 : -0.8087206 
boosting mean 778 : -0.4965093 
boosting RMSE 778 : 0.1511947 

forest 778 : -0.4148913 
forest mean 778 : -0.3622117 
forest RMSE 778 : 0.06250994 

nnet 778 : -0.5895323 
nnet mean 778 : -0.4302995 
nnet RMSE 778 : 0.1499854 


s: 779 
logit 779 : -0.457176 
logit mean 779 : -0.3984807 
logit RMSE 779 : 0.05587292 

boosting 779 : -0.7133896 
boosting mean 779 : -0.4967877 
boosting RMSE 779 : 0.1515142 

forest 779 : -0.3582878 
forest mean 779 : -0.3622066 
forest RMSE 779 : 0.06248767 

nnet 779 : -0.3580248 
nnet mean 779 : -0.4302067 
nnet RMSE 779 : 0.1498967 


s: 780 
logit 780 : -0.468164 
logit mean 780 : -0.39857 
logit RMSE 780 : 0.0558904 

boosting 780 : -0.4362959 
boosting mean 780 : -0.4967101 
boosting RMSE 780 : 0.1514227 

forest 780 : -0.3381467 
forest mean 780 : -0.3621758 
forest RMSE 780 : 0.06248687 

nnet 780 : -0.4205572 
nnet mean 780 : -0.4301943 
nnet RMSE 780 : 0.1498024 


s: 781 
logit 781 : -0.4769863 
logit mean 781 : -0.3986704 
logit RMSE 781 : 0.0559225 

boosting 781 : -0.6284967 
boosting mean 781 : -0.4968789 
boosting RMSE 781 : 0.1515464 

forest 781 : -0.5279207 
forest mean 781 : -0.362388 
forest RMSE 781 : 0.06261438 

nnet 781 : -0.2737369 
nnet mean 781 : -0.429994 
nnet RMSE 781 : 0.1497746 


s: 782 
logit 782 : -0.3976084 
logit mean 782 : -0.3986690 
logit RMSE 782 : 0.0558868 

boosting 782 : -0.6649294 
boosting mean 782 : -0.4970938 
boosting RMSE 782 : 0.1517455 

forest 782 : -0.3507169 
forest mean 782 : -0.3623731 
forest RMSE 782 : 0.06259915 

nnet 782 : -0.5218797 
nnet mean 782 : -0.4301115 
nnet RMSE 782 : 0.1497423 


s: 783 
logit 783 : -0.33927 
logit mean 783 : -0.3985932 
logit RMSE 783 : 0.05589326 

boosting 783 : -0.5221225 
boosting mean 783 : -0.4971257 
boosting RMSE 783 : 0.1517114 

forest 783 : -0.4636336 
forest mean 783 : -0.3625024 
forest RMSE 783 : 0.06260048 

nnet 783 : -0.3718490 
nnet mean 783 : -0.4300371 
nnet RMSE 783 : 0.1496500 


s: 784 
logit 784 : -0.3924479 
logit mean 784 : -0.3985853 
logit RMSE 784 : 0.05585825 

boosting 784 : -0.4721986 
boosting mean 784 : -0.4970939 
boosting RMSE 784 : 0.1516365 

forest 784 : -0.3460375 
forest mean 784 : -0.3624814 
forest RMSE 784 : 0.06259022 

nnet 784 : -0.4586061 
nnet mean 784 : -0.4300735 
nnet RMSE 784 : 0.1495692 


s: 785 
logit 785 : -0.4096754 
logit mean 785 : -0.3985995 
logit RMSE 785 : 0.05582373 

boosting 785 : -0.3426551 
boosting mean 785 : -0.4968972 
boosting RMSE 785 : 0.1515537 

forest 785 : -0.3745605 
forest mean 785 : -0.3624968 
forest RMSE 785 : 0.06255693 

nnet 785 : -0.2937815 
nnet mean 785 : -0.4298999 
nnet RMSE 785 : 0.1495219 


s: 786 
logit 786 : -0.4185751 
logit mean 786 : -0.3986249 
logit RMSE 786 : 0.05579214 

boosting 786 : -0.6143912 
boosting mean 786 : -0.4970467 
boosting RMSE 786 : 0.1516502 

forest 786 : -0.4015679 
forest mean 786 : -0.3625465 
forest RMSE 786 : 0.06251715 

nnet 786 : -0.5776276 
nnet mean 786 : -0.4300878 
nnet RMSE 786 : 0.1495610 


s: 787 
logit 787 : -0.4437701 
logit mean 787 : -0.3986823 
logit RMSE 787 : 0.05577851 

boosting 787 : -0.5964506 
boosting mean 787 : -0.497173 
boosting RMSE 787 : 0.1517155 

forest 787 : -0.4583323 
forest mean 787 : -0.3626682 
forest RMSE 787 : 0.06251201 

nnet 787 : -0.5402067 
nnet mean 787 : -0.4302278 
nnet RMSE 787 : 0.1495495 


s: 788 
logit 788 : -0.4624069 
logit mean 788 : -0.3987631 
logit RMSE 788 : 0.05578742 

boosting 788 : -0.7837934 
boosting mean 788 : -0.4975367 
boosting RMSE 788 : 0.1522344 

forest 788 : -0.4185466 
forest mean 788 : -0.3627391 
forest RMSE 788 : 0.06247583 

nnet 788 : -0.3008326 
nnet mean 788 : -0.4300636 
nnet RMSE 788 : 0.1494964 


s: 789 
logit 789 : -0.3064269 
logit mean 789 : -0.3986461 
logit RMSE 789 : 0.05585149 

boosting 789 : -0.5343648 
boosting mean 789 : -0.4975834 
boosting RMSE 789 : 0.1522131 

forest 789 : -0.2510551 
forest mean 789 : -0.3625976 
forest RMSE 789 : 0.06266099 

nnet 789 : -0.3919484 
nnet mean 789 : -0.4300152 
nnet RMSE 789 : 0.1494019 


s: 790 
logit 790 : -0.4482062 
logit mean 790 : -0.3987088 
logit RMSE 790 : 0.05584247 

boosting 790 : -0.5365896 
boosting mean 790 : -0.4976328 
boosting RMSE 790 : 0.1521943 

forest 790 : -0.4244447 
forest mean 790 : -0.3626759 
forest RMSE 790 : 0.06262736 

nnet 790 : -0.6451457 
nnet mean 790 : -0.4302876 
nnet RMSE 790 : 0.1495618 


s: 791 
logit 791 : -0.3642850 
logit mean 791 : -0.3986653 
logit RMSE 791 : 0.05582161 

boosting 791 : -0.4433828 
boosting mean 791 : -0.4975642 
boosting RMSE 791 : 0.1521059 

forest 791 : -0.3960473 
forest mean 791 : -0.3627180 
forest RMSE 791 : 0.06258791 

nnet 791 : -0.4754141 
nnet mean 791 : -0.4303446 
nnet RMSE 791 : 0.1494913 


s: 792 
logit 792 : -0.4975284 
logit mean 792 : -0.3987901 
logit RMSE 792 : 0.0558939 

boosting 792 : -0.5227276 
boosting mean 792 : -0.4975959 
boosting RMSE 792 : 0.1520724 

forest 792 : -0.4374017 
forest mean 792 : -0.3628123 
forest RMSE 792 : 0.0625625 

nnet 792 : -0.5573612 
nnet mean 792 : -0.430505 
nnet RMSE 792 : 0.1495015 


s: 793 
logit 793 : -0.4030735 
logit mean 793 : -0.3987955 
logit RMSE 793 : 0.05585875 

boosting 793 : -0.5537663 
boosting mean 793 : -0.4976668 
boosting RMSE 793 : 0.1520745 

forest 793 : -0.3567987 
forest mean 793 : -0.3628048 
forest RMSE 793 : 0.06254187 

nnet 793 : -0.3421344 
nnet mean 793 : -0.4303935 
nnet RMSE 793 : 0.1494213 


s: 794 
logit 794 : -0.3527922 
logit mean 794 : -0.3987376 
logit RMSE 794 : 0.0558487 

boosting 794 : -0.4926914 
boosting mean 794 : -0.4976605 
boosting RMSE 794 : 0.1520143 

forest 794 : -0.3864629 
forest mean 794 : -0.3628346 
forest RMSE 794 : 0.06250431 

nnet 794 : -0.5847298 
nnet mean 794 : -0.4305879 
nnet RMSE 794 : 0.1494710 


s: 795 
logit 795 : -0.3183671 
logit mean 795 : -0.3986365 
logit RMSE 795 : 0.0558886 

boosting 795 : -0.3540578 
boosting mean 795 : -0.4974799 
boosting RMSE 795 : 0.1519274 

forest 795 : -0.2926683 
forest mean 795 : -0.3627463 
forest RMSE 795 : 0.06258087 

nnet 795 : -0.3720892 
nnet mean 795 : -0.4305143 
nnet RMSE 795 : 0.1493803 


s: 796 
logit 796 : -0.3007822 
logit mean 796 : -0.3985136 
logit RMSE 796 : 0.05596409 

boosting 796 : -0.4198949 
boosting mean 796 : -0.4973824 
boosting RMSE 796 : 0.1518336 

forest 796 : -0.3631435 
forest mean 796 : -0.3627468 
forest RMSE 796 : 0.0625552 

nnet 796 : -0.3748537 
nnet mean 796 : -0.4304444 
nnet RMSE 796 : 0.1492891 


s: 797 
logit 797 : -0.4644956 
logit mean 797 : -0.3985964 
logit RMSE 797 : 0.0559756 

boosting 797 : -0.4860853 
boosting mean 797 : -0.4973682 
boosting RMSE 797 : 0.1517690 

forest 797 : -0.4611869 
forest mean 797 : -0.3628703 
forest RMSE 797 : 0.0625535 

nnet 797 : -0.3956581 
nnet mean 797 : -0.4304008 
nnet RMSE 797 : 0.1491955 


s: 798 
logit 798 : -0.3861783 
logit mean 798 : -0.3985808 
logit RMSE 798 : 0.05594266 

boosting 798 : -0.3348187 
boosting mean 798 : -0.4971645 
boosting RMSE 798 : 0.1516914 

forest 798 : -0.3342768 
forest mean 798 : -0.3628345 
forest RMSE 798 : 0.06255757 

nnet 798 : -0.61475 
nnet mean 798 : -0.4306318 
nnet RMSE 798 : 0.1492956 


s: 799 
logit 799 : -0.3767066 
logit mean 799 : -0.3985534 
logit RMSE 799 : 0.05591372 

boosting 799 : -0.4730304 
boosting mean 799 : -0.4971343 
boosting RMSE 799 : 0.1516185 

forest 799 : -0.3411005 
forest mean 799 : -0.3628073 
forest RMSE 799 : 0.06255312 

nnet 799 : -0.3690411 
nnet mean 799 : -0.4305547 
nnet RMSE 799 : 0.1492062 


s: 800 
logit 800 : -0.4242441 
logit mean 800 : -0.3985855 
logit RMSE 800 : 0.05588533 

boosting 800 : -0.4615326 
boosting mean 800 : -0.4970898 
boosting RMSE 800 : 0.1515393 

forest 800 : -0.3455253 
forest mean 800 : -0.3627857 
forest RMSE 800 : 0.06254368 

nnet 800 : -0.2916035 
nnet mean 800 : -0.430381 
nnet RMSE 800 : 0.1491622 


s: 801 
logit 801 : -0.4412117 
logit mean 801 : -0.3986387 
logit RMSE 801 : 0.05586942 

boosting 801 : -0.641847 
boosting mean 801 : -0.4972706 
boosting RMSE 801 : 0.1516855 

forest 801 : -0.3387990 
forest mean 801 : -0.3627557 
forest RMSE 801 : 0.06254202 

nnet 801 : -0.659387 
nnet mean 801 : -0.4306669 
nnet RMSE 801 : 0.1493505 


s: 802 
logit 802 : -0.43725 
logit mean 802 : -0.3986869 
logit RMSE 802 : 0.05585006 

boosting 802 : -0.4599763 
boosting mean 802 : -0.4972241 
boosting RMSE 802 : 0.1516057 

forest 802 : -0.3905037 
forest mean 802 : -0.3627903 
forest RMSE 802 : 0.06250392 

nnet 802 : -0.3999841 
nnet mean 802 : -0.4306287 
nnet RMSE 802 : 0.1492573 


s: 803 
logit 803 : -0.3947364 
logit mean 803 : -0.398682 
logit RMSE 803 : 0.05581559 

boosting 803 : -0.4485682 
boosting mean 803 : -0.4971635 
boosting RMSE 803 : 0.151521 

forest 803 : -0.4006656 
forest mean 803 : -0.3628375 
forest RMSE 803 : 0.06246499 

nnet 803 : -0.4557218 
nnet mean 803 : -0.4306599 
nnet RMSE 803 : 0.1491773 


s: 804 
logit 804 : -0.4682571 
logit mean 804 : -0.3987685 
logit RMSE 804 : 0.05583278 

boosting 804 : -0.3694384 
boosting mean 804 : -0.4970046 
boosting RMSE 804 : 0.1514306 

forest 804 : -0.3420736 
forest mean 804 : -0.3628117 
forest RMSE 804 : 0.06245955 

nnet 804 : -0.5982068 
nnet mean 804 : -0.4308683 
nnet RMSE 804 : 0.1492483 


s: 805 
logit 805 : -0.3920583 
logit mean 805 : -0.3987602 
logit RMSE 805 : 0.0557988 

boosting 805 : -0.5136869 
boosting mean 805 : -0.4970253 
boosting RMSE 805 : 0.1513895 

forest 805 : -0.3103845 
forest mean 805 : -0.3627465 
forest RMSE 805 : 0.0625006 

nnet 805 : -0.4981781 
nnet mean 805 : -0.4309519 
nnet RMSE 805 : 0.1491957 


s: 806 
logit 806 : -0.2789746 
logit mean 806 : -0.3986116 
logit RMSE 806 : 0.05592688 

boosting 806 : -0.5890575 
boosting mean 806 : -0.4971395 
boosting RMSE 806 : 0.1514421 

forest 806 : -0.3012231 
forest mean 806 : -0.3626702 
forest RMSE 806 : 0.06255864 

nnet 806 : -0.7521615 
nnet mean 806 : -0.4313504 
nnet RMSE 806 : 0.1496182 


s: 807 
logit 807 : -0.4178389 
logit mean 807 : -0.3986354 
logit RMSE 807 : 0.05589574 

boosting 807 : -0.5020146 
boosting mean 807 : -0.4971455 
boosting RMSE 807 : 0.1513908 

forest 807 : -0.338496 
forest mean 807 : -0.3626403 
forest RMSE 807 : 0.06255735 

nnet 807 : -0.4439039 
nnet mean 807 : -0.431366 
nnet RMSE 807 : 0.1495335 


s: 808 
logit 808 : -0.4089806 
logit mean 808 : -0.3986482 
logit RMSE 808 : 0.05586204 

boosting 808 : -0.4669133 
boosting mean 808 : -0.4971081 
boosting RMSE 808 : 0.1513154 

forest 808 : -0.3578128 
forest mean 808 : -0.3626343 
forest RMSE 808 : 0.06253624 

nnet 808 : -0.6089958 
nnet mean 808 : -0.4315858 
nnet RMSE 808 : 0.1496217 


s: 809 
logit 809 : -0.3680838 
logit mean 809 : -0.3986104 
logit RMSE 809 : 0.05583878 

boosting 809 : -0.2490423 
boosting mean 809 : -0.4968015 
boosting RMSE 809 : 0.1513150 

forest 809 : -0.3213595 
forest mean 809 : -0.3625833 
forest RMSE 809 : 0.0625587 

nnet 809 : -0.1257724 
nnet mean 809 : -0.4312078 
nnet RMSE 809 : 0.1498397 


s: 810 
logit 810 : -0.4291943 
logit mean 810 : -0.3986482 
logit RMSE 810 : 0.05581372 

boosting 810 : -0.4187766 
boosting mean 810 : -0.4967052 
boosting RMSE 810 : 0.1512230 

forest 810 : -0.3287644 
forest mean 810 : -0.3625415 
forest RMSE 810 : 0.06257016 

nnet 810 : -0.4838957 
nnet mean 810 : -0.4312729 
nnet RMSE 810 : 0.1497762 


s: 811 
logit 811 : -0.3636782 
logit mean 811 : -0.3986050 
logit RMSE 811 : 0.05579388 

boosting 811 : -0.6475271 
boosting mean 811 : -0.4968911 
boosting RMSE 811 : 0.1513795 

forest 811 : -0.386709 
forest mean 811 : -0.3625713 
forest RMSE 811 : 0.06253331 

nnet 811 : -0.6196298 
nnet mean 811 : -0.4315051 
nnet RMSE 811 : 0.1498824 


s: 812 
logit 812 : -0.4565545 
logit mean 812 : -0.3986764 
logit RMSE 812 : 0.05579483 

boosting 812 : -0.63819 
boosting mean 812 : -0.4970652 
boosting RMSE 812 : 0.1515170 

forest 812 : -0.3649152 
forest mean 812 : -0.3625742 
forest RMSE 812 : 0.06250692 

nnet 812 : -0.6703195 
nnet mean 812 : -0.4317992 
nnet RMSE 812 : 0.1500901 


s: 813 
logit 813 : -0.5359472 
logit mean 813 : -0.3988453 
logit RMSE 813 : 0.05596397 

boosting 813 : -0.7722636 
boosting mean 813 : -0.4974037 
boosting RMSE 813 : 0.1519855 

forest 813 : -0.3981936 
forest mean 813 : -0.362618 
forest RMSE 813 : 0.0624685 

nnet 813 : -0.5540167 
nnet mean 813 : -0.4319495 
nnet RMSE 813 : 0.1500950 


s: 814 
logit 814 : -0.4028049 
logit mean 814 : -0.3988501 
logit RMSE 814 : 0.05592967 

boosting 814 : -0.4448009 
boosting mean 814 : -0.497339 
boosting RMSE 814 : 0.1519003 

forest 814 : -0.4232052 
forest mean 814 : -0.3626924 
forest RMSE 814 : 0.06243542 

nnet 814 : -0.5414767 
nnet mean 814 : -0.4320841 
nnet RMSE 814 : 0.1500847 


s: 815 
logit 815 : -0.425548 
logit mean 815 : -0.3988829 
logit RMSE 815 : 0.05590251 

boosting 815 : -0.3843096 
boosting mean 815 : -0.4972003 
boosting RMSE 815 : 0.1518080 

forest 815 : -0.3807269 
forest mean 815 : -0.3627146 
forest RMSE 815 : 0.06240075 

nnet 815 : -0.5357273 
nnet mean 815 : -0.4322113 
nnet RMSE 815 : 0.1500680 


s: 816 
logit 816 : -0.50058 
logit mean 816 : -0.3990075 
logit RMSE 816 : 0.05597909 

boosting 816 : -0.5888354 
boosting mean 816 : -0.4973126 
boosting RMSE 816 : 0.1518590 

forest 816 : -0.3423583 
forest mean 816 : -0.3626896 
forest RMSE 816 : 0.06239514 

nnet 816 : -0.3550922 
nnet mean 816 : -0.4321168 
nnet RMSE 816 : 0.1499842 


s: 817 
logit 817 : -0.3389713 
logit mean 817 : -0.398934 
logit RMSE 817 : 0.05598555 

boosting 817 : -0.4041005 
boosting mean 817 : -0.4971985 
boosting RMSE 817 : 0.1517661 

forest 817 : -0.4020096 
forest mean 817 : -0.3627377 
forest RMSE 817 : 0.06235698 

nnet 817 : -0.2657946 
nnet mean 817 : -0.4319132 
nnet RMSE 817 : 0.1499659 


s: 818 
logit 818 : -0.3546921 
logit mean 818 : -0.3988799 
logit RMSE 818 : 0.05597374 

boosting 818 : -0.6636935 
boosting mean 818 : -0.4974021 
boosting RMSE 818 : 0.1519532 

forest 818 : -0.4012606 
forest mean 818 : -0.3627848 
forest RMSE 818 : 0.06231887 

nnet 818 : -0.4018386 
nnet mean 818 : -0.4318764 
nnet RMSE 818 : 0.1498742 


s: 819 
logit 819 : -0.4333373 
logit mean 819 : -0.398922 
logit RMSE 819 : 0.05595168 

boosting 819 : -0.4657437 
boosting mean 819 : -0.4973634 
boosting RMSE 819 : 0.1518778 

forest 819 : -0.3917295 
forest mean 819 : -0.3628202 
forest RMSE 819 : 0.06228149 

nnet 819 : -0.4461947 
nnet mean 819 : -0.4318939 
nnet RMSE 819 : 0.1497914 


s: 820 
logit 820 : -0.4526518 
logit mean 820 : -0.3989875 
logit RMSE 820 : 0.05594778 

boosting 820 : -0.5009222 
boosting mean 820 : -0.4973678 
boosting RMSE 820 : 0.1518261 

forest 820 : -0.3420123 
forest mean 820 : -0.3627948 
forest RMSE 820 : 0.06227643 

nnet 820 : -0.3441988 
nnet mean 820 : -0.431787 
nnet RMSE 820 : 0.1497127 


s: 821 
logit 821 : -0.4205583 
logit mean 821 : -0.3990138 
logit RMSE 821 : 0.0559183 

boosting 821 : -0.43104 
boosting mean 821 : -0.497287 
boosting RMSE 821 : 0.1517375 

forest 821 : -0.3650488 
forest mean 821 : -0.3627976 
forest RMSE 821 : 0.06225044 

nnet 821 : -0.3969862 
nnet mean 821 : -0.4317446 
nnet RMSE 821 : 0.1496216 


s: 822 
logit 822 : -0.3500436 
logit mean 822 : -0.3989542 
logit RMSE 822 : 0.05591143 

boosting 822 : -0.4646023 
boosting mean 822 : -0.4972472 
boosting RMSE 822 : 0.1516619 

forest 822 : -0.4242424 
forest mean 822 : -0.3628723 
forest RMSE 822 : 0.06221831 

nnet 822 : -0.2277441 
nnet mean 822 : -0.4314964 
nnet RMSE 822 : 0.1496512 


s: 823 
logit 823 : -0.2822015 
logit mean 823 : -0.3988124 
logit RMSE 823 : 0.05602812 

boosting 823 : -0.5447091 
boosting mean 823 : -0.4973049 
boosting RMSE 823 : 0.1516536 

forest 823 : -0.3414583 
forest mean 823 : -0.3628463 
forest RMSE 823 : 0.06221398 

nnet 823 : -0.4803452 
nnet mean 823 : -0.4315557 
nnet RMSE 823 : 0.1495865 


s: 824 
logit 824 : -0.3579633 
logit mean 824 : -0.3987628 
logit RMSE 824 : 0.05601326 

boosting 824 : -0.1958415 
boosting mean 824 : -0.496939 
boosting RMSE 824 : 0.1517283 

forest 824 : -0.3273324 
forest mean 824 : -0.3628032 
forest RMSE 824 : 0.06222773 

nnet 824 : -0.5041847 
nnet mean 824 : -0.4316439 
nnet RMSE 824 : 0.1495397 


s: 825 
logit 825 : -0.4779222 
logit mean 825 : -0.3988587 
logit RMSE 825 : 0.056045 

boosting 825 : -0.3937643 
boosting mean 825 : -0.496814 
boosting RMSE 825 : 0.1516365 

forest 825 : -0.3519824 
forest mean 825 : -0.3627901 
forest RMSE 825 : 0.06221247 

nnet 825 : -0.06949964 
nnet mean 825 : -0.4312049 
nnet RMSE 825 : 0.1498914 


s: 826 
logit 826 : -0.4526378 
logit mean 826 : -0.3989239 
logit RMSE 826 : 0.056041 

boosting 826 : -0.5600021 
boosting mean 826 : -0.4968905 
boosting RMSE 826 : 0.1516469 

forest 826 : -0.3824475 
forest mean 826 : -0.3628139 
forest RMSE 826 : 0.0621778 

nnet 826 : -0.5254082 
nnet mean 826 : -0.431319 
nnet RMSE 826 : 0.1498641 


s: 827 
logit 827 : -0.3969748 
logit mean 827 : -0.3989215 
logit RMSE 827 : 0.05600721 

boosting 827 : -0.4709072 
boosting mean 827 : -0.4968591 
boosting RMSE 827 : 0.1515753 

forest 827 : -0.4140261 
forest mean 827 : -0.3628758 
forest RMSE 827 : 0.06214211 

nnet 827 : -0.3810634 
nnet mean 827 : -0.4312582 
nnet RMSE 827 : 0.1497750 


s: 828 
logit 828 : -0.3972726 
logit mean 828 : -0.3989195 
logit RMSE 828 : 0.05597346 

boosting 828 : -0.4551267 
boosting mean 828 : -0.4968087 
boosting RMSE 828 : 0.1514958 

forest 828 : -0.3855025 
forest mean 828 : -0.3629031 
forest RMSE 828 : 0.06210661 

nnet 828 : -0.4291598 
nnet mean 828 : -0.4312557 
nnet RMSE 828 : 0.1496879 


s: 829 
logit 829 : -0.3604098 
logit mean 829 : -0.3988731 
logit RMSE 829 : 0.05595659 

boosting 829 : -0.5402483 
boosting mean 829 : -0.4968611 
boosting RMSE 829 : 0.1514828 

forest 829 : -0.2982187 
forest mean 829 : -0.3628251 
forest RMSE 829 : 0.06216973 

nnet 829 : -0.3875124 
nnet mean 829 : -0.4312029 
nnet RMSE 829 : 0.1495982 


s: 830 
logit 830 : -0.3824379 
logit mean 830 : -0.3988533 
logit RMSE 830 : 0.05592619 

boosting 830 : -0.6102819 
boosting mean 830 : -0.4969977 
boosting RMSE 830 : 0.1515673 

forest 830 : -0.4413821 
forest mean 830 : -0.3629197 
forest RMSE 830 : 0.06214887 

nnet 830 : -0.5361636 
nnet mean 830 : -0.4313294 
nnet RMSE 830 : 0.1495828 


s: 831 
logit 831 : -0.4110334 
logit mean 831 : -0.3988679 
logit RMSE 831 : 0.05589384 

boosting 831 : -0.7404704 
boosting mean 831 : -0.4972907 
boosting RMSE 831 : 0.1519359 

forest 831 : -0.3125169 
forest mean 831 : -0.3628591 
forest RMSE 831 : 0.06218556 

nnet 831 : -0.4845176 
nnet mean 831 : -0.4313934 
nnet RMSE 831 : 0.1495215 


s: 832 
logit 832 : -0.3832856 
logit mean 832 : -0.3988492 
logit RMSE 832 : 0.05586325 

boosting 832 : -0.5891325 
boosting mean 832 : -0.4974011 
boosting RMSE 832 : 0.1519860 

forest 832 : -0.3329528 
forest mean 832 : -0.3628231 
forest RMSE 832 : 0.06219163 

nnet 832 : -0.4169407 
nnet mean 832 : -0.431376 
nnet RMSE 832 : 0.1494328 


s: 833 
logit 833 : -0.3862613 
logit mean 833 : -0.3988341 
logit RMSE 833 : 0.05583173 

boosting 833 : -0.6424562 
boosting mean 833 : -0.4975752 
boosting RMSE 833 : 0.1521269 

forest 833 : -0.3310391 
forest mean 833 : -0.362785 
forest RMSE 833 : 0.0622002 

nnet 833 : -0.1634936 
nnet mean 833 : -0.4310544 
nnet RMSE 833 : 0.1495677 


s: 834 
logit 834 : -0.3734195 
logit mean 834 : -0.3988036 
logit RMSE 834 : 0.05580584 

boosting 834 : -0.4930519 
boosting mean 834 : -0.4975698 
boosting RMSE 834 : 0.1520698 

forest 834 : -0.3372923 
forest mean 834 : -0.3627544 
forest RMSE 834 : 0.0622008 

nnet 834 : -0.4479668 
nnet mean 834 : -0.4310747 
nnet RMSE 834 : 0.1494872 


s: 835 
logit 835 : -0.3929209 
logit mean 835 : -0.3987966 
logit RMSE 835 : 0.05577295 

boosting 835 : -0.350675 
boosting mean 835 : -0.4973939 
boosting RMSE 835 : 0.1519883 

forest 835 : -0.245439 
forest mean 835 : -0.3626139 
forest RMSE 835 : 0.06239324 

nnet 835 : -0.3799202 
nnet mean 835 : -0.4310134 
nnet RMSE 835 : 0.1493993 


s: 836 
logit 836 : -0.4129786 
logit mean 836 : -0.3988135 
logit RMSE 836 : 0.05574139 

boosting 836 : -0.1691298 
boosting mean 836 : -0.4970012 
boosting RMSE 836 : 0.1521071 

forest 836 : -0.3534567 
forest mean 836 : -0.362603 
forest RMSE 836 : 0.06237669 

nnet 836 : -0.4628259 
nnet mean 836 : -0.4310515 
nnet RMSE 836 : 0.1493257 


s: 837 
logit 837 : -0.4618829 
logit mean 837 : -0.3988889 
logit RMSE 837 : 0.05574913 

boosting 837 : -0.6346465 
boosting mean 837 : -0.4971657 
boosting RMSE 837 : 0.1522324 

forest 837 : -0.3052477 
forest mean 837 : -0.3625344 
forest RMSE 837 : 0.06242539 

nnet 837 : -0.4724711 
nnet mean 837 : -0.431101 
nnet RMSE 837 : 0.1492575 


s: 838 
logit 838 : -0.4417902 
logit mean 838 : -0.3989401 
logit RMSE 838 : 0.05573456 

boosting 838 : -0.5088014 
boosting mean 838 : -0.4971795 
boosting RMSE 838 : 0.1521880 

forest 838 : -0.3262156 
forest mean 838 : -0.3624911 
forest RMSE 838 : 0.06244017 

nnet 838 : -0.3230883 
nnet mean 838 : -0.4309721 
nnet RMSE 838 : 0.1491921 


s: 839 
logit 839 : -0.4453142 
logit mean 839 : -0.3989953 
logit RMSE 839 : 0.0557233 

boosting 839 : -0.4464212 
boosting mean 839 : -0.497119 
boosting RMSE 839 : 0.1521057 

forest 839 : -0.3919796 
forest mean 839 : -0.3625263 
forest RMSE 839 : 0.06240357 

nnet 839 : -0.4001475 
nnet mean 839 : -0.4309353 
nnet RMSE 839 : 0.1491032 


s: 840 
logit 840 : -0.4239336 
logit mean 840 : -0.399025 
logit RMSE 840 : 0.05569624 

boosting 840 : -0.6257305 
boosting mean 840 : -0.4972722 
boosting RMSE 840 : 0.1522145 

forest 840 : -0.4657623 
forest mean 840 : -0.3626492 
forest RMSE 840 : 0.06240767 

nnet 840 : -0.4616683 
nnet mean 840 : -0.4309719 
nnet RMSE 840 : 0.1490296 


s: 841 
logit 841 : -0.4877426 
logit mean 841 : -0.3991305 
logit RMSE 841 : 0.05574529 

boosting 841 : -0.757884 
boosting mean 841 : -0.497582 
boosting RMSE 841 : 0.1526237 

forest 841 : -0.2549051 
forest mean 841 : -0.3625210 
forest RMSE 841 : 0.06257091 

nnet 841 : -0.66391 
nnet mean 841 : -0.4312489 
nnet RMSE 841 : 0.1492187 


s: 842 
logit 842 : -0.4278049 
logit mean 842 : -0.3991646 
logit RMSE 842 : 0.05572042 

boosting 842 : -0.4546465 
boosting mean 842 : -0.497531 
boosting RMSE 842 : 0.1525447 

forest 842 : -0.3002794 
forest mean 842 : -0.3624471 
forest RMSE 842 : 0.0626281 

nnet 842 : -0.2355760 
nnet mean 842 : -0.4310165 
nnet RMSE 842 : 0.1492377 


s: 843 
logit 843 : -0.3246831 
logit mean 843 : -0.3990762 
logit RMSE 843 : 0.05574774 

boosting 843 : -0.6016494 
boosting mean 843 : -0.4976546 
boosting RMSE 843 : 0.1526123 

forest 843 : -0.3445062 
forest mean 843 : -0.3624258 
forest RMSE 843 : 0.06262012 

nnet 843 : -0.660526 
nnet mean 843 : -0.4312888 
nnet RMSE 843 : 0.1494188 


s: 844 
logit 844 : -0.3238413 
logit mean 844 : -0.3989871 
logit RMSE 844 : 0.05577635 

boosting 844 : -0.4917352 
boosting mean 844 : -0.4976475 
boosting RMSE 844 : 0.1525546 

forest 844 : -0.2986453 
forest mean 844 : -0.3623503 
forest RMSE 844 : 0.06268018 

nnet 844 : -0.4623194 
nnet mean 844 : -0.4313255 
nnet RMSE 844 : 0.1493457 


s: 845 
logit 845 : -0.4480942 
logit mean 845 : -0.3990452 
logit RMSE 845 : 0.05576788 

boosting 845 : -0.2866215 
boosting mean 845 : -0.4973978 
boosting RMSE 845 : 0.1525141 

forest 845 : -0.3445163 
forest mean 845 : -0.3623292 
forest RMSE 845 : 0.06267215 

nnet 845 : -0.3125478 
nnet mean 845 : -0.431185 
nnet RMSE 845 : 0.1492876 


s: 846 
logit 846 : -0.3155616 
logit mean 846 : -0.3989465 
logit RMSE 846 : 0.05581047 

boosting 846 : -0.4693156 
boosting mean 846 : -0.4973646 
boosting RMSE 846 : 0.1524426 

forest 846 : -0.5440676 
forest mean 846 : -0.362544 
forest RMSE 846 : 0.06283064 
Increasing memory because of ties: allocating a matrix of size 3 times 200000 doubles.
I would be faster with the ties=FALSE option.
Increasing memory because of ties: allocating a matrix of size 3 times 300000 doubles.
I would be faster with the ties=FALSE option.

nnet 846 : -0.2662863 
nnet mean 846 : -0.4309900 
nnet RMSE 846 : 0.1492701 


s: 847 
logit 847 : -0.3613194 
logit mean 847 : -0.3989021 
logit RMSE 847 : 0.05579334 

boosting 847 : -0.5962729 
boosting mean 847 : -0.4974814 
boosting RMSE 847 : 0.1525018 

forest 847 : -0.2497229 
forest mean 847 : -0.3624108 
forest RMSE 847 : 0.06300549 

nnet 847 : -0.4786462 
nnet mean 847 : -0.4310463 
nnet RMSE 847 : 0.1492065 


s: 848 
logit 848 : -0.3224740 
logit mean 848 : -0.3988120 
logit RMSE 848 : 0.05582395 

boosting 848 : -0.4776016 
boosting mean 848 : -0.4974579 
boosting RMSE 848 : 0.1524351 

forest 848 : -0.2105852 
forest mean 848 : -0.3622317 
forest RMSE 848 : 0.06330339 

nnet 848 : -0.4278985 
nnet mean 848 : -0.4310426 
nnet RMSE 848 : 0.1491215 


s: 849 
logit 849 : -0.4466355 
logit mean 849 : -0.3988683 
logit RMSE 849 : 0.05581402 

boosting 849 : -0.6431056 
boosting mean 849 : -0.4976295 
boosting RMSE 849 : 0.1525736 

forest 849 : -0.4201796 
forest mean 849 : -0.3623 
forest RMSE 849 : 0.06326989 

nnet 849 : -0.5302298 
nnet mean 849 : -0.4311594 
nnet RMSE 849 : 0.1491007 


s: 850 
logit 850 : -0.4710975 
logit mean 850 : -0.3989533 
logit RMSE 850 : 0.05583446 

boosting 850 : -0.5461059 
boosting mean 850 : -0.4976865 
boosting RMSE 850 : 0.1525662 

forest 850 : -0.3662885 
forest mean 850 : -0.3623047 
forest RMSE 850 : 0.06324323 

nnet 850 : -0.3730298 
nnet mean 850 : -0.431091 
nnet RMSE 850 : 0.1490158 


s: 851 
logit 851 : -0.3677568 
logit mean 851 : -0.3989166 
logit RMSE 851 : 0.05581259 

boosting 851 : -0.4650977 
boosting mean 851 : -0.4976482 
boosting RMSE 851 : 0.1524928 

forest 851 : -0.3450014 
forest mean 851 : -0.3622844 
forest RMSE 851 : 0.06323418 

nnet 851 : -0.4135386 
nnet mean 851 : -0.4310704 
nnet RMSE 851 : 0.1489290 


s: 852 
logit 852 : -0.4066892 
logit mean 852 : -0.3989257 
logit RMSE 852 : 0.0557803 

boosting 852 : -0.5176223 
boosting mean 852 : -0.4976717 
boosting RMSE 852 : 0.1524566 

forest 852 : -0.4127719 
forest mean 852 : -0.3623436 
forest RMSE 852 : 0.06319857 

nnet 852 : -0.7295788 
nnet mean 852 : -0.4314208 
nnet RMSE 852 : 0.1492692 


s: 853 
logit 853 : -0.4606434 
logit mean 853 : -0.3989981 
logit RMSE 853 : 0.05578625 

boosting 853 : -0.353872 
boosting mean 853 : -0.4975031 
boosting RMSE 853 : 0.1523754 

forest 853 : -0.3998735 
forest mean 853 : -0.3623876 
forest RMSE 853 : 0.06316151 

nnet 853 : -0.3446092 
nnet mean 853 : -0.431319 
nnet RMSE 853 : 0.1491938 


s: 854 
logit 854 : -0.4074752 
logit mean 854 : -0.399008 
logit RMSE 854 : 0.05575416 

boosting 854 : -0.682238 
boosting mean 854 : -0.4977194 
boosting RMSE 854 : 0.1525921 

forest 854 : -0.3336665 
forest mean 854 : -0.362354 
forest RMSE 854 : 0.06316532 

nnet 854 : -0.4999231 
nnet mean 854 : -0.4313993 
nnet RMSE 854 : 0.1491456 


s: 855 
logit 855 : -0.4632616 
logit mean 855 : -0.3990832 
logit RMSE 855 : 0.05576353 

boosting 855 : -0.3838658 
boosting mean 855 : -0.4975863 
boosting RMSE 855 : 0.1525038 

forest 855 : -0.3418717 
forest mean 855 : -0.36233 
forest RMSE 855 : 0.06315967 

nnet 855 : -0.5862263 
nnet mean 855 : -0.4315804 
nnet RMSE 855 : 0.1491943 


s: 856 
logit 856 : -0.4058252 
logit mean 856 : -0.399091 
logit RMSE 856 : 0.05573131 

boosting 856 : -0.3633403 
boosting mean 856 : -0.4974294 
boosting RMSE 856 : 0.1524199 

forest 856 : -0.4389474 
forest mean 856 : -0.3624195 
forest RMSE 856 : 0.0631368 

nnet 856 : -0.04338727 
nnet mean 856 : -0.4311269 
nnet RMSE 856 : 0.1496045 


s: 857 
logit 857 : -0.4101007 
logit mean 857 : -0.3991039 
logit RMSE 857 : 0.05569985 

boosting 857 : -0.6464708 
boosting mean 857 : -0.4976033 
boosting RMSE 857 : 0.1525634 

forest 857 : -0.328503 
forest mean 857 : -0.3623800 
forest RMSE 857 : 0.0631472 

nnet 857 : -0.3632738 
nnet mean 857 : -0.4310477 
nnet RMSE 857 : 0.1495225 


s: 858 
logit 858 : -0.4287511 
logit mean 858 : -0.3991384 
logit RMSE 858 : 0.05567604 

boosting 858 : -0.3616269 
boosting mean 858 : -0.4974449 
boosting RMSE 858 : 0.1524801 

forest 858 : -0.347358 
forest mean 858 : -0.3623624 
forest RMSE 858 : 0.06313597 

nnet 858 : -0.4159098 
nnet mean 858 : -0.4310301 
nnet RMSE 858 : 0.1494363 


s: 859 
logit 859 : -0.4056863 
logit mean 859 : -0.3991461 
logit RMSE 859 : 0.05564396 

boosting 859 : -0.6799254 
boosting mean 859 : -0.4976573 
boosting RMSE 859 : 0.1526903 

forest 859 : -0.4157944 
forest mean 859 : -0.3624246 
forest RMSE 859 : 0.06310151 

nnet 859 : -0.5291716 
nnet mean 859 : -0.4311444 
nnet RMSE 859 : 0.1494143 


s: 860 
logit 860 : -0.3595525 
logit mean 860 : -0.3991 
logit RMSE 860 : 0.0556287 

boosting 860 : -0.5777429 
boosting mean 860 : -0.4977504 
boosting RMSE 860 : 0.1527218 

forest 860 : -0.3831121 
forest mean 860 : -0.3624487 
forest RMSE 860 : 0.06306744 

nnet 860 : -0.5226301 
nnet mean 860 : -0.4312507 
nnet RMSE 860 : 0.1493859 


s: 861 
logit 861 : -0.3283152 
logit mean 861 : -0.3990178 
logit RMSE 861 : 0.05565003 

boosting 861 : -0.4716461 
boosting mean 861 : -0.4977201 
boosting RMSE 861 : 0.1526527 

forest 861 : -0.3356906 
forest mean 861 : -0.3624176 
forest RMSE 861 : 0.0630689 

nnet 861 : -0.5025031 
nnet mean 861 : -0.4313335 
nnet RMSE 861 : 0.1493400 


s: 862 
logit 862 : -0.4065061 
logit mean 862 : -0.3990265 
logit RMSE 862 : 0.05561819 

boosting 862 : -0.4751442 
boosting mean 862 : -0.4976939 
boosting RMSE 862 : 0.1525856 

forest 862 : -0.3293855 
forest mean 862 : -0.3623793 
forest RMSE 862 : 0.06307818 

nnet 862 : -0.4530966 
nnet mean 862 : -0.4313587 
nnet RMSE 862 : 0.1492643 


s: 863 
logit 863 : -0.4531497 
logit mean 863 : -0.3990892 
logit RMSE 863 : 0.05561539 

boosting 863 : -0.737523 
boosting mean 863 : -0.4979718 
boosting RMSE 863 : 0.1529293 

forest 863 : -0.4091411 
forest mean 863 : -0.3624335 
forest RMSE 863 : 0.06304239 

nnet 863 : -0.5057714 
nnet mean 863 : -0.431445 
nnet RMSE 863 : 0.1492213 


s: 864 
logit 864 : -0.3433875 
logit mean 864 : -0.3990247 
logit RMSE 864 : 0.05561655 

boosting 864 : -0.6120008 
boosting mean 864 : -0.4981038 
boosting RMSE 864 : 0.1530109 

forest 864 : -0.3508787 
forest mean 864 : -0.3624201 
forest RMSE 864 : 0.06302805 

nnet 864 : -0.7153094 
nnet mean 864 : -0.4317735 
nnet RMSE 864 : 0.1495202 


s: 865 
logit 865 : -0.3695215 
logit mean 865 : -0.3989906 
logit RMSE 865 : 0.05559405 

boosting 865 : -0.352472 
boosting mean 865 : -0.4979354 
boosting RMSE 865 : 0.1529310 

forest 865 : -0.400846 
forest mean 865 : -0.3624645 
forest RMSE 865 : 0.06299162 

nnet 865 : -0.2986413 
nnet mean 865 : -0.4316196 
nnet RMSE 865 : 0.1494735 


s: 866 
logit 866 : -0.4158075 
logit mean 866 : -0.3990101 
logit RMSE 866 : 0.05556454 

boosting 866 : -0.5215387 
boosting mean 866 : -0.4979627 
boosting RMSE 866 : 0.1528984 

forest 866 : -0.3228768 
forest mean 866 : -0.3624188 
forest RMSE 866 : 0.06300976 

nnet 866 : -0.3842407 
nnet mean 866 : -0.4315649 
nnet RMSE 866 : 0.1493881 


s: 867 
logit 867 : -0.3487402 
logit mean 867 : -0.3989521 
logit RMSE 867 : 0.05555977 

boosting 867 : -0.4074203 
boosting mean 867 : -0.4978582 
boosting RMSE 867 : 0.1528104 

forest 867 : -0.2929921 
forest mean 867 : -0.3623387 
forest RMSE 867 : 0.06307819 

nnet 867 : -0.1890328 
nnet mean 867 : -0.4312852 
nnet RMSE 867 : 0.1494737 


s: 868 
logit 868 : -0.36485 
logit mean 868 : -0.3989128 
logit RMSE 868 : 0.05554057 

boosting 868 : -0.5396445 
boosting mean 868 : -0.4979064 
boosting RMSE 868 : 0.1527959 

forest 868 : -0.3716057 
forest mean 868 : -0.3623494 
forest RMSE 868 : 0.06304921 

nnet 868 : -0.3354885 
nnet mean 868 : -0.4311748 
nnet RMSE 868 : 0.1494037 


s: 869 
logit 869 : -0.4984522 
logit mean 869 : -0.3990273 
logit RMSE 869 : 0.05560899 

boosting 869 : -0.4815087 
boosting mean 869 : -0.4978875 
boosting RMSE 869 : 0.152733 

forest 869 : -0.4208919 
forest mean 869 : -0.3624168 
forest RMSE 869 : 0.06301691 

nnet 869 : -0.4013912 
nnet mean 869 : -0.4311405 
nnet RMSE 869 : 0.1493177 


s: 870 
logit 870 : -0.3826113 
logit mean 870 : -0.3990085 
logit RMSE 870 : 0.05558015 

boosting 870 : -0.3262353 
boosting mean 870 : -0.4976902 
boosting RMSE 870 : 0.1526657 

forest 870 : -0.3453885 
forest mean 870 : -0.3623972 
forest RMSE 870 : 0.06300789 

nnet 870 : -0.1993470 
nnet mean 870 : -0.4308741 
nnet RMSE 870 : 0.1493868 


s: 871 
logit 871 : -0.4953664 
logit mean 871 : -0.3991191 
logit RMSE 871 : 0.05564214 

boosting 871 : -0.3952698 
boosting mean 871 : -0.4975726 
boosting RMSE 871 : 0.1525781 

forest 871 : -0.3906840 
forest mean 871 : -0.3624297 
forest RMSE 871 : 0.0629725 

nnet 871 : -0.4787031 
nnet mean 871 : -0.430929 
nnet RMSE 871 : 0.1493249 


s: 872 
logit 872 : -0.4735285 
logit mean 872 : -0.3992044 
logit RMSE 872 : 0.05566594 

boosting 872 : -0.3795061 
boosting mean 872 : -0.4974372 
boosting RMSE 872 : 0.1524922 

forest 872 : -0.3171480 
forest mean 872 : -0.3623778 
forest RMSE 872 : 0.06299889 

nnet 872 : -0.3563565 
nnet mean 872 : -0.4308435 
nnet RMSE 872 : 0.1492465 


s: 873 
logit 873 : -0.3771159 
logit mean 873 : -0.3991791 
logit RMSE 873 : 0.05563944 

boosting 873 : -0.4594511 
boosting mean 873 : -0.4973937 
boosting RMSE 873 : 0.1524181 

forest 873 : -0.3100023 
forest mean 873 : -0.3623178 
forest RMSE 873 : 0.06303644 

nnet 873 : -0.1084770 
nnet mean 873 : -0.4304742 
nnet RMSE 873 : 0.1494870 


s: 874 
logit 874 : -0.5026812 
logit mean 874 : -0.3992975 
logit RMSE 874 : 0.05571597 

boosting 874 : -0.5220872 
boosting mean 874 : -0.497422 
boosting RMSE 874 : 0.1523868 

forest 874 : -0.341941 
forest mean 874 : -0.3622945 
forest RMSE 874 : 0.06303097 

nnet 874 : -0.3294325 
nnet mean 874 : -0.4303586 
nnet RMSE 874 : 0.1494205 


s: 875 
logit 875 : -0.3471234 
logit mean 875 : -0.3992379 
logit RMSE 875 : 0.0557128 

boosting 875 : -0.4485749 
boosting mean 875 : -0.4973661 
boosting RMSE 875 : 0.1523086 

forest 875 : -0.3746351 
forest mean 875 : -0.3623086 
forest RMSE 875 : 0.06300077 

nnet 875 : -0.8142691 
nnet mean 875 : -0.4307974 
nnet RMSE 875 : 0.1499904 


s: 876 
logit 876 : -0.2701885 
logit mean 876 : -0.3990906 
logit RMSE 876 : 0.05585346 

boosting 876 : -0.3472573 
boosting mean 876 : -0.4971948 
boosting RMSE 876 : 0.1522321 

forest 876 : -0.2158128 
forest mean 876 : -0.3621413 
forest RMSE 876 : 0.06327159 

nnet 876 : -0.4300246 
nnet mean 876 : -0.4307965 
nnet RMSE 876 : 0.1499082 


s: 877 
logit 877 : -0.3783096 
logit mean 877 : -0.3990669 
logit RMSE 877 : 0.05582642 

boosting 877 : -0.3977187 
boosting mean 877 : -0.4970814 
boosting RMSE 877 : 0.1521453 

forest 877 : -0.3837295 
forest mean 877 : -0.3621659 
forest RMSE 877 : 0.06323789 

nnet 877 : -0.1902469 
nnet mean 877 : -0.4305222 
nnet RMSE 877 : 0.14999 


s: 878 
logit 878 : -0.3830277 
logit mean 878 : -0.3990486 
logit RMSE 878 : 0.05579756 

boosting 878 : -0.6767749 
boosting mean 878 : -0.497286 
boosting RMSE 878 : 0.1523452 

forest 878 : -0.3760018 
forest mean 878 : -0.3621817 
forest RMSE 878 : 0.06320706 

nnet 878 : -0.5389386 
nnet mean 878 : -0.4306457 
nnet RMSE 878 : 0.1499779 


s: 879 
logit 879 : -0.3290332 
logit mean 879 : -0.398969 
logit RMSE 879 : 0.05581716 

boosting 879 : -0.4608495 
boosting mean 879 : -0.4972446 
boosting RMSE 879 : 0.1522724 

forest 879 : -0.3532772 
forest mean 879 : -0.3621716 
forest RMSE 879 : 0.06319075 

nnet 879 : -0.1395135 
nnet mean 879 : -0.4303145 
nnet RMSE 879 : 0.1501498 


s: 880 
logit 880 : -0.4296347 
logit mean 880 : -0.3990038 
logit RMSE 880 : 0.05579438 

boosting 880 : -0.4560285 
boosting mean 880 : -0.4971977 
boosting RMSE 880 : 0.1521975 

forest 880 : -0.3488519 
forest mean 880 : -0.3621564 
forest RMSE 880 : 0.06317836 

nnet 880 : -0.3705641 
nnet mean 880 : -0.4302466 
nnet RMSE 880 : 0.1500678 


s: 881 
logit 881 : -0.465918 
logit mean 881 : -0.3990798 
logit RMSE 881 : 0.05580691 

boosting 881 : -0.3101873 
boosting mean 881 : -0.4969855 
boosting RMSE 881 : 0.1521412 

forest 881 : -0.3783347 
forest mean 881 : -0.3621748 
forest RMSE 881 : 0.06314672 

nnet 881 : -0.2181825 
nnet mean 881 : -0.4300059 
nnet RMSE 881 : 0.1501076 


s: 882 
logit 882 : -0.4221209 
logit mean 882 : -0.3991059 
logit RMSE 882 : 0.05578024 

boosting 882 : -0.5267779 
boosting mean 882 : -0.4970192 
boosting RMSE 882 : 0.1521149 

forest 882 : -0.4271016 
forest mean 882 : -0.3622484 
forest RMSE 882 : 0.0631175 

nnet 882 : -0.2493927 
nnet mean 882 : -0.4298011 
nnet RMSE 882 : 0.1501082 


s: 883 
logit 883 : -0.36533 
logit mean 883 : -0.3990677 
logit RMSE 883 : 0.05576085 

boosting 883 : -0.4189281 
boosting mean 883 : -0.4969308 
boosting RMSE 883 : 0.1520300 

forest 883 : -0.3315107 
forest mean 883 : -0.3622136 
forest RMSE 883 : 0.06312385 

nnet 883 : -0.2313688 
nnet mean 883 : -0.4295764 
nnet RMSE 883 : 0.1501304 


s: 884 
logit 884 : -0.3378614 
logit mean 884 : -0.3989984 
logit RMSE 884 : 0.05576848 

boosting 884 : -0.3709359 
boosting mean 884 : -0.4967883 
boosting RMSE 884 : 0.1519472 

forest 884 : -0.4626286 
forest mean 884 : -0.3623272 
forest RMSE 884 : 0.06312329 

nnet 884 : -0.3134025 
nnet mean 884 : -0.4294449 
nnet RMSE 884 : 0.1500738 


s: 885 
logit 885 : -0.3839779 
logit mean 885 : -0.3989814 
logit RMSE 885 : 0.05573956 

boosting 885 : -0.3871498 
boosting mean 885 : -0.4966644 
boosting RMSE 885 : 0.1518619 

forest 885 : -0.3817812 
forest mean 885 : -0.3623492 
forest RMSE 885 : 0.06309059 

nnet 885 : -0.315008 
nnet mean 885 : -0.4293156 
nnet RMSE 885 : 0.1500162 


s: 886 
logit 886 : -0.4314943 
logit mean 886 : -0.3990181 
logit RMSE 886 : 0.05571814 

boosting 886 : -0.5664573 
boosting mean 886 : -0.4967432 
boosting RMSE 886 : 0.1518792 

forest 886 : -0.3434853 
forest mean 886 : -0.3623279 
forest RMSE 886 : 0.06308355 

nnet 886 : -0.2703475 
nnet mean 886 : -0.4291362 
nnet RMSE 886 : 0.1499947 


s: 887 
logit 887 : -0.4142576 
logit mean 887 : -0.3990353 
logit RMSE 887 : 0.05568879 

boosting 887 : -0.2930787 
boosting mean 887 : -0.4965136 
boosting RMSE 887 : 0.151836 

forest 887 : -0.4049423 
forest mean 887 : -0.3623759 
forest RMSE 887 : 0.0630482 

nnet 887 : -0.2912451 
nnet mean 887 : -0.4289808 
nnet RMSE 887 : 0.1499546 


s: 888 
logit 888 : -0.3741743 
logit mean 888 : -0.3990073 
logit RMSE 888 : 0.05566417 

boosting 888 : -0.3392397 
boosting mean 888 : -0.4963364 
boosting RMSE 888 : 0.1517642 

forest 888 : -0.2920707 
forest mean 888 : -0.3622968 
forest RMSE 888 : 0.0631167 

nnet 888 : -0.3434604 
nnet mean 888 : -0.4288844 
nnet RMSE 888 : 0.1498822 


s: 889 
logit 889 : -0.4022883 
logit mean 889 : -0.399011 
logit RMSE 889 : 0.0556329 

boosting 889 : -0.4573454 
boosting mean 889 : -0.4962926 
boosting RMSE 889 : 0.1516910 

forest 889 : -0.3248244 
forest mean 889 : -0.3622546 
forest RMSE 889 : 0.06313155 

nnet 889 : -0.533314 
nnet mean 889 : -0.4290019 
nnet RMSE 889 : 0.1498646 


s: 890 
logit 890 : -0.4461076 
logit mean 890 : -0.3990639 
logit RMSE 890 : 0.05562312 

boosting 890 : -0.5252231 
boosting mean 890 : -0.4963251 
boosting RMSE 890 : 0.1516638 

forest 890 : -0.3706205 
forest mean 890 : -0.362264 
forest RMSE 890 : 0.06310376 

nnet 890 : -0.5062806 
nnet mean 890 : -0.4290887 
nnet RMSE 890 : 0.1498227 


s: 891 
logit 891 : -0.3614378 
logit mean 891 : -0.3990217 
logit RMSE 891 : 0.0556069 

boosting 891 : -0.4470063 
boosting mean 891 : -0.4962697 
boosting RMSE 891 : 0.1515869 

forest 891 : -0.2648877 
forest mean 891 : -0.3621547 
forest RMSE 891 : 0.06323056 

nnet 891 : -0.376915 
nnet mean 891 : -0.4290302 
nnet RMSE 891 : 0.1497406 


s: 892 
logit 892 : -0.5111703 
logit mean 892 : -0.3991474 
logit RMSE 892 : 0.05570024 

boosting 892 : -0.4202732 
boosting mean 892 : -0.4961845 
boosting RMSE 892 : 0.1515034 

forest 892 : -0.3607273 
forest mean 892 : -0.3621531 
forest RMSE 892 : 0.06320879 

nnet 892 : -0.5355995 
nnet mean 892 : -0.4291497 
nnet RMSE 892 : 0.1497255 


s: 893 
logit 893 : -0.3857337 
logit mean 893 : -0.3991324 
logit RMSE 893 : 0.05567109 

boosting 893 : -0.626399 
boosting mean 893 : -0.4963304 
boosting RMSE 893 : 0.1516080 

forest 893 : -0.2864939 
forest mean 893 : -0.3620684 
forest RMSE 893 : 0.06328747 

nnet 893 : -0.5984446 
nnet mean 893 : -0.4293392 
nnet RMSE 893 : 0.1497889 


s: 894 
logit 894 : -0.4311594 
logit mean 894 : -0.3991682 
logit RMSE 894 : 0.0556497 

boosting 894 : -0.5963331 
boosting mean 894 : -0.4964422 
boosting RMSE 894 : 0.1516654 

forest 894 : -0.429461 
forest mean 894 : -0.3621438 
forest RMSE 894 : 0.06325974 

nnet 894 : -0.2087202 
nnet mean 894 : -0.4290925 
nnet RMSE 894 : 0.1498418 


s: 895 
logit 895 : -0.4156868 
logit mean 895 : -0.3991867 
logit RMSE 895 : 0.05562108 

boosting 895 : -0.6123228 
boosting mean 895 : -0.4965717 
boosting RMSE 895 : 0.1517467 

forest 895 : -0.3542851 
forest mean 895 : -0.362135 
forest RMSE 895 : 0.06324286 

nnet 895 : -0.4920395 
nnet mean 895 : -0.4291628 
nnet RMSE 895 : 0.1497896 


s: 896 
logit 896 : -0.3755541 
logit mean 896 : -0.3991603 
logit RMSE 896 : 0.05559603 

boosting 896 : -0.6165157 
boosting mean 896 : -0.4967056 
boosting RMSE 896 : 0.1518344 

forest 896 : -0.3306529 
forest mean 896 : -0.3620999 
forest RMSE 896 : 0.06325 

nnet 896 : -0.7154242 
nnet mean 896 : -0.4294823 
nnet RMSE 896 : 0.1500764 


s: 897 
logit 897 : -0.4514827 
logit mean 897 : -0.3992186 
logit RMSE 897 : 0.05559161 

boosting 897 : -0.6986497 
boosting mean 897 : -0.4969307 
boosting RMSE 897 : 0.1520770 

forest 897 : -0.367274 
forest mean 897 : -0.3621056 
forest RMSE 897 : 0.06322417 

nnet 897 : -0.7673013 
nnet mean 897 : -0.4298589 
nnet RMSE 897 : 0.1504933 


s: 898 
logit 898 : -0.3544172 
logit mean 898 : -0.3991688 
logit RMSE 898 : 0.05558147 

boosting 898 : -0.6222102 
boosting mean 898 : -0.4970702 
boosting RMSE 898 : 0.1521731 

forest 898 : -0.3389508 
forest mean 898 : -0.3620798 
forest RMSE 898 : 0.06322179 

nnet 898 : -0.4025128 
nnet mean 898 : -0.4298284 
nnet RMSE 898 : 0.1504095 


s: 899 
logit 899 : -0.4846923 
logit mean 899 : -0.3992639 
logit RMSE 899 : 0.05562231 

boosting 899 : -0.5164259 
boosting mean 899 : -0.4970917 
boosting RMSE 899 : 0.1521380 

forest 899 : -0.3629986 
forest mean 899 : -0.3620809 
forest RMSE 899 : 0.06319867 

nnet 899 : -0.5797851 
nnet mean 899 : -0.4299952 
nnet RMSE 899 : 0.1504453 


s: 900 
logit 900 : -0.42985 
logit mean 900 : -0.3992979 
logit RMSE 900 : 0.05560031 

boosting 900 : -0.4152056 
boosting mean 900 : -0.4970007 
boosting RMSE 900 : 0.1520543 

forest 900 : -0.3367173 
forest mean 900 : -0.3620527 
forest RMSE 900 : 0.06319876 

nnet 900 : -0.4265418 
nnet mean 900 : -0.4299914 
nnet RMSE 900 : 0.1503643 


s: 901 
logit 901 : -0.2906833 
logit mean 901 : -0.3991773 
logit RMSE 901 : 0.05568865 

boosting 901 : -0.4297727 
boosting mean 901 : -0.4969261 
boosting RMSE 901 : 0.1519731 

forest 901 : -0.3688611 
forest mean 901 : -0.3620602 
forest RMSE 901 : 0.0631722 

nnet 901 : -0.44041 
nnet mean 901 : -0.430003 
nnet RMSE 901 : 0.1502869 


s: 902 
logit 902 : -0.3295052 
logit mean 902 : -0.3991001 
logit RMSE 902 : 0.05570725 

boosting 902 : -0.6145063 
boosting mean 902 : -0.4970565 
boosting RMSE 902 : 0.1520567 

forest 902 : -0.3569353 
forest mean 902 : -0.3620546 
forest RMSE 902 : 0.06315345 

nnet 902 : -0.4405613 
nnet mean 902 : -0.4300147 
nnet RMSE 902 : 0.1502096 


s: 903 
logit 903 : -0.3939682 
logit mean 903 : -0.3990944 
logit RMSE 903 : 0.05567676 

boosting 903 : -0.4789847 
boosting mean 903 : -0.4970365 
boosting RMSE 903 : 0.1519952 

forest 903 : -0.4017582 
forest mean 903 : -0.3620985 
forest RMSE 903 : 0.0631185 

nnet 903 : -0.5410103 
nnet mean 903 : -0.4301376 
nnet RMSE 903 : 0.1501998 


s: 904 
logit 904 : -0.330234 
logit mean 904 : -0.3990182 
logit RMSE 904 : 0.05569431 

boosting 904 : -0.5687152 
boosting mean 904 : -0.4971158 
boosting RMSE 904 : 0.1520147 

forest 904 : -0.3598484 
forest mean 904 : -0.362096 
forest RMSE 904 : 0.06309772 

nnet 904 : -0.724646 
nnet mean 904 : -0.4304634 
nnet RMSE 904 : 0.1505045 


s: 905 
logit 905 : -0.3667796 
logit mean 905 : -0.3989826 
logit RMSE 905 : 0.05567448 

boosting 905 : -0.3844078 
boosting mean 905 : -0.4969912 
boosting RMSE 905 : 0.1519316 

forest 905 : -0.3656728 
forest mean 905 : -0.3621 
forest RMSE 905 : 0.06307317 

nnet 905 : -0.5027804 
nnet mean 905 : -0.4305433 
nnet RMSE 905 : 0.1504601 


s: 906 
logit 906 : -0.2549629 
logit mean 906 : -0.3988236 
logit RMSE 906 : 0.055852 

boosting 906 : -0.2934916 
boosting mean 906 : -0.4967666 
boosting RMSE 906 : 0.1518889 

forest 906 : -0.4282125 
forest mean 906 : -0.3621730 
forest RMSE 906 : 0.06304532 

nnet 906 : -0.1918491 
nnet mean 906 : -0.4302798 
nnet RMSE 906 : 0.1505360 


s: 907 
logit 907 : -0.4330721 
logit mean 907 : -0.3988614 
logit RMSE 907 : 0.055832 

boosting 907 : -0.5719011 
boosting mean 907 : -0.4968494 
boosting RMSE 907 : 0.1519124 

forest 907 : -0.3720555 
forest mean 907 : -0.3621839 
forest RMSE 907 : 0.06301738 

nnet 907 : -0.300964 
nnet mean 907 : -0.4301372 
nnet RMSE 907 : 0.1504889 


s: 908 
logit 908 : -0.3703902 
logit mean 908 : -0.3988300 
logit RMSE 908 : 0.0558099 

boosting 908 : -0.6794573 
boosting mean 908 : -0.4970506 
boosting RMSE 908 : 0.1521117 

forest 908 : -0.3037309 
forest mean 908 : -0.3621195 
forest RMSE 908 : 0.06306365 

nnet 908 : -0.1693356 
nnet mean 908 : -0.42985 
nnet RMSE 908 : 0.1506007 


s: 909 
logit 909 : -0.5225912 
logit mean 909 : -0.3989662 
logit RMSE 909 : 0.05592719 

boosting 909 : -0.5581676 
boosting mean 909 : -0.4971178 
boosting RMSE 909 : 0.1521185 

forest 909 : -0.3975394 
forest mean 909 : -0.3621584 
forest RMSE 909 : 0.063029 

nnet 909 : -0.3700689 
nnet mean 909 : -0.4297843 
nnet RMSE 909 : 0.1505211 


s: 910 
logit 910 : -0.3507083 
logit mean 910 : -0.3989132 
logit RMSE 910 : 0.05592033 

boosting 910 : -0.4175884 
boosting mean 910 : -0.4970304 
boosting RMSE 910 : 0.1520360 

forest 910 : -0.4020119 
forest mean 910 : -0.3622022 
forest RMSE 910 : 0.0629944 

nnet 910 : -0.3931929 
nnet mean 910 : -0.4297440 
nnet RMSE 910 : 0.1504385 


s: 911 
logit 911 : -0.3266139 
logit mean 911 : -0.3988338 
logit RMSE 911 : 0.0559425 

boosting 911 : -0.6208164 
boosting mean 911 : -0.4971663 
boosting RMSE 911 : 0.1521286 

forest 911 : -0.3891201 
forest mean 911 : -0.3622318 
forest RMSE 911 : 0.06296085 

nnet 911 : -0.4341283 
nnet mean 911 : -0.4297489 
nnet RMSE 911 : 0.1503602 


s: 912 
logit 912 : -0.3699499 
logit mean 912 : -0.3988021 
logit RMSE 912 : 0.05592067 

boosting 912 : -0.4840618 
boosting mean 912 : -0.4971519 
boosting RMSE 912 : 0.1520706 

forest 912 : -0.4107408 
forest mean 912 : -0.362285 
forest RMSE 912 : 0.06292733 

nnet 912 : -0.3139688 
nnet mean 912 : -0.4296219 
nnet RMSE 912 : 0.1503047 


s: 913 
logit 913 : -0.4114138 
logit mean 913 : -0.3988159 
logit RMSE 913 : 0.05589131 

boosting 913 : -0.4961545 
boosting mean 913 : -0.4971508 
boosting RMSE 913 : 0.1520206 

forest 913 : -0.3840416 
forest mean 913 : -0.3623088 
forest RMSE 913 : 0.06289507 

nnet 913 : -0.3806298 
nnet mean 913 : -0.4295682 
nnet RMSE 913 : 0.1502238 


s: 914 
logit 914 : -0.3666282 
logit mean 914 : -0.3987807 
logit RMSE 914 : 0.05587164 

boosting 914 : -0.4216304 
boosting mean 914 : -0.4970682 
boosting RMSE 914 : 0.1519391 

forest 914 : -0.2965142 
forest mean 914 : -0.3622368 
forest RMSE 914 : 0.06295378 

nnet 914 : -0.4339017 
nnet mean 914 : -0.429573 
nnet RMSE 914 : 0.1501457 


s: 915 
logit 915 : -0.3369515 
logit mean 915 : -0.3987132 
logit RMSE 915 : 0.05587998 

boosting 915 : -0.4548777 
boosting mean 915 : -0.4970221 
boosting RMSE 915 : 0.1518669 

forest 915 : -0.3485040 
forest mean 915 : -0.3622218 
forest RMSE 915 : 0.0629424 

nnet 915 : -0.644149 
nnet mean 915 : -0.4298075 
nnet RMSE 915 : 0.1502806 


s: 916 
logit 916 : -0.3138705 
logit mean 916 : -0.3986205 
logit RMSE 916 : 0.05592193 

boosting 916 : -0.5566272 
boosting mean 916 : -0.4970872 
boosting RMSE 916 : 0.1518722 

forest 916 : -0.376495 
forest mean 916 : -0.3622374 
forest RMSE 916 : 0.06291283 

nnet 916 : -0.2499277 
nnet mean 916 : -0.4296111 
nnet RMSE 916 : 0.1502804 


s: 917 
logit 917 : -0.3875823 
logit mean 917 : -0.3986085 
logit RMSE 917 : 0.05589293 

boosting 917 : -0.4110879 
boosting mean 917 : -0.4969934 
boosting RMSE 917 : 0.1517898 

forest 917 : -0.3585216 
forest mean 917 : -0.3622333 
forest RMSE 917 : 0.06289343 

nnet 917 : -0.1564044 
nnet mean 917 : -0.4293132 
nnet RMSE 917 : 0.1504137 


s: 918 
logit 918 : -0.3446933 
logit mean 918 : -0.3985498 
logit RMSE 918 : 0.0558923 

boosting 918 : -0.6805229 
boosting mean 918 : -0.4971933 
boosting RMSE 918 : 0.1519894 

forest 918 : -0.3467723 
forest mean 918 : -0.3622165 
forest RMSE 918 : 0.06288371 

nnet 918 : -0.451834 
nnet mean 918 : -0.4293377 
nnet RMSE 918 : 0.1503414 


s: 919 
logit 919 : -0.4834975 
logit mean 919 : -0.3986422 
logit RMSE 919 : 0.05592974 

boosting 919 : -0.5069864 
boosting mean 919 : -0.4972039 
boosting RMSE 919 : 0.1519477 

forest 919 : -0.2914807 
forest mean 919 : -0.3621395 
forest RMSE 919 : 0.06295135 

nnet 919 : -0.2815209 
nnet mean 919 : -0.4291769 
nnet RMSE 919 : 0.1503104 


s: 920 
logit 920 : -0.4366825 
logit mean 920 : -0.3986835 
logit RMSE 920 : 0.05591242 

boosting 920 : -0.4768629 
boosting mean 920 : -0.4971818 
boosting RMSE 920 : 0.1518862 

forest 920 : -0.4412165 
forest mean 920 : -0.3622255 
forest RMSE 920 : 0.0629318 

nnet 920 : -0.6483713 
nnet mean 920 : -0.4294151 
nnet RMSE 920 : 0.1504517 


s: 921 
logit 921 : -0.3873482 
logit mean 921 : -0.3986712 
logit RMSE 921 : 0.05588361 

boosting 921 : -0.4309929 
boosting mean 921 : -0.49711 
boosting RMSE 921 : 0.1518072 

forest 921 : -0.3354916 
forest mean 921 : -0.3621965 
forest RMSE 921 : 0.06293354 

nnet 921 : -0.4164631 
nnet mean 921 : -0.4294011 
nnet RMSE 921 : 0.150371 


s: 922 
logit 922 : -0.4366995 
logit mean 922 : -0.3987125 
logit RMSE 922 : 0.05586637 

boosting 922 : -0.6117345 
boosting mean 922 : -0.4972343 
boosting RMSE 922 : 0.1518850 

forest 922 : -0.4042045 
forest mean 922 : -0.362242 
forest RMSE 922 : 0.06289955 

nnet 922 : -0.3868816 
nnet mean 922 : -0.4293550 
nnet RMSE 922 : 0.1502901 


s: 923 
logit 923 : -0.3423456 
logit mean 923 : -0.3986514 
logit RMSE 923 : 0.05586834 

boosting 923 : -0.4585878 
boosting mean 923 : -0.4971924 
boosting RMSE 923 : 0.1518149 

forest 923 : -0.3137631 
forest mean 923 : -0.3621895 
forest RMSE 923 : 0.06292952 

nnet 923 : -0.4963542 
nnet mean 923 : -0.4294275 
nnet RMSE 923 : 0.1502421 


s: 924 
logit 924 : -0.4413945 
logit mean 924 : -0.3986977 
logit RMSE 924 : 0.0558547 

boosting 924 : -0.641424 
boosting mean 924 : -0.4973485 
boosting RMSE 924 : 0.1519405 

forest 924 : -0.4029346 
forest mean 924 : -0.3622336 
forest RMSE 924 : 0.06289553 

nnet 924 : -0.3347008 
nnet mean 924 : -0.429325 
nnet RMSE 924 : 0.1501761 


s: 925 
logit 925 : -0.3071143 
logit mean 925 : -0.3985987 
logit RMSE 925 : 0.05590798 

boosting 925 : -0.3265192 
boosting mean 925 : -0.4971638 
boosting RMSE 925 : 0.1518775 

forest 925 : -0.4763476 
forest mean 925 : -0.3623570 
forest RMSE 925 : 0.06291163 

nnet 925 : -0.6262396 
nnet mean 925 : -0.4295379 
nnet RMSE 925 : 0.1502792 


s: 926 
logit 926 : -0.3551047 
logit mean 926 : -0.3985517 
logit RMSE 926 : 0.05589726 

boosting 926 : -0.6807121 
boosting mean 926 : -0.4973621 
boosting RMSE 926 : 0.1520755 

forest 926 : -0.4202584 
forest mean 926 : -0.3624195 
forest RMSE 926 : 0.06288117 

nnet 926 : -0.4339844 
nnet mean 926 : -0.4295427 
nnet RMSE 926 : 0.1502022 


s: 927 
logit 927 : -0.3517171 
logit mean 927 : -0.3985012 
logit RMSE 927 : 0.0558896 

boosting 927 : -0.3241829 
boosting mean 927 : -0.4971752 
boosting RMSE 927 : 0.1520139 

forest 927 : -0.3401224 
forest mean 927 : -0.3623954 
forest RMSE 927 : 0.06287801 

nnet 927 : -0.4723547 
nnet mean 927 : -0.4295889 
nnet RMSE 927 : 0.1501399 


s: 928 
logit 928 : -0.2413386 
logit mean 928 : -0.3983318 
logit RMSE 928 : 0.05610177 

boosting 928 : -0.5602182 
boosting mean 928 : -0.4972432 
boosting RMSE 928 : 0.1520230 

forest 928 : -0.2766987 
forest mean 928 : -0.3623031 
forest RMSE 928 : 0.06297433 

nnet 928 : -0.6047346 
nnet mean 928 : -0.4297776 
nnet RMSE 928 : 0.1502094 


s: 929 
logit 929 : -0.2811213 
logit mean 929 : -0.3982056 
logit RMSE 929 : 0.05620705 

boosting 929 : -0.4702761 
boosting mean 929 : -0.4972141 
boosting RMSE 929 : 0.1519586 

forest 929 : -0.3753034 
forest mean 929 : -0.3623171 
forest RMSE 929 : 0.06294564 

nnet 929 : -0.3476063 
nnet mean 929 : -0.4296892 
nnet RMSE 929 : 0.1501384 


s: 930 
logit 930 : -0.460318 
logit mean 930 : -0.3982724 
logit RMSE 930 : 0.05621163 

boosting 930 : -0.4900184 
boosting mean 930 : -0.4972064 
boosting RMSE 930 : 0.1519056 

forest 930 : -0.405643 
forest mean 930 : -0.3623637 
forest RMSE 930 : 0.06291206 

nnet 930 : -0.4305273 
nnet mean 930 : -0.4296901 
nnet RMSE 930 : 0.150061 


s: 931 
logit 931 : -0.4416183 
logit mean 931 : -0.398319 
logit RMSE 931 : 0.05619799 

boosting 931 : -0.6233733 
boosting mean 931 : -0.4973419 
boosting RMSE 931 : 0.1520004 

forest 931 : -0.3625968 
forest mean 931 : -0.3623639 
forest RMSE 931 : 0.06289022 

nnet 931 : -0.7416334 
nnet mean 931 : -0.4300251 
nnet RMSE 931 : 0.1503977 


s: 932 
logit 932 : -0.3046856 
logit mean 932 : -0.3982185 
logit RMSE 932 : 0.05625454 

boosting 932 : -0.2600862 
boosting mean 932 : -0.4970874 
boosting RMSE 932 : 0.1519879 

forest 932 : -0.3349189 
forest mean 932 : -0.3623345 
forest RMSE 932 : 0.06289261 

nnet 932 : -0.3093976 
nnet mean 932 : -0.4298957 
nnet RMSE 932 : 0.1503463 


s: 933 
logit 933 : -0.4529365 
logit mean 933 : -0.3982772 
logit RMSE 933 : 0.05625109 

boosting 933 : -0.5157578 
boosting mean 933 : -0.4971074 
boosting RMSE 933 : 0.1519537 

forest 933 : -0.3281001 
forest mean 933 : -0.3622978 
forest RMSE 933 : 0.06290295 

nnet 933 : -0.4443373 
nnet mean 933 : -0.4299112 
nnet RMSE 933 : 0.1502727 


s: 934 
logit 934 : -0.4336557 
logit mean 934 : -0.3983151 
logit RMSE 934 : 0.05623175 

boosting 934 : -0.4451755 
boosting mean 934 : -0.4970518 
boosting RMSE 934 : 0.1518795 

forest 934 : -0.4059793 
forest mean 934 : -0.3623445 
forest RMSE 934 : 0.06286957 

nnet 934 : -0.3601633 
nnet mean 934 : -0.4298365 
nnet RMSE 934 : 0.1501979 


s: 935 
logit 935 : -0.3796187 
logit mean 935 : -0.3982951 
logit RMSE 935 : 0.05620563 

boosting 935 : -0.3899072 
boosting mean 935 : -0.4969372 
boosting RMSE 935 : 0.1517987 

forest 935 : -0.3856560 
forest mean 935 : -0.3623695 
forest RMSE 935 : 0.0628377 

nnet 935 : -0.5224707 
nnet mean 935 : -0.4299356 
nnet RMSE 935 : 0.1501710 


s: 936 
logit 936 : -0.4970882 
logit mean 936 : -0.3984006 
logit RMSE 936 : 0.05626516 

boosting 936 : -0.5514593 
boosting mean 936 : -0.4969954 
boosting RMSE 936 : 0.1517983 

forest 936 : -0.3541001 
forest mean 936 : -0.3623606 
forest RMSE 936 : 0.06282204 

nnet 936 : -0.5041971 
nnet mean 936 : -0.4300149 
nnet RMSE 936 : 0.1501294 


s: 937 
logit 937 : -0.2994603 
logit mean 937 : -0.398295 
logit RMSE 937 : 0.05633096 

boosting 937 : -0.3082804 
boosting mean 937 : -0.496794 
boosting RMSE 937 : 0.1517469 

forest 937 : -0.3146316 
forest mean 937 : -0.3623097 
forest RMSE 937 : 0.06285041 

nnet 937 : -0.2930333 
nnet mean 937 : -0.4298687 
nnet RMSE 937 : 0.1500900 


s: 938 
logit 938 : -0.3774678 
logit mean 938 : -0.3982728 
logit RMSE 938 : 0.05630573 

boosting 938 : -0.502762 
boosting mean 938 : -0.4968004 
boosting RMSE 938 : 0.1517031 

forest 938 : -0.3396819 
forest mean 938 : -0.3622856 
forest RMSE 938 : 0.06284777 

nnet 938 : -0.6322325 
nnet mean 938 : -0.4300845 
nnet RMSE 938 : 0.1502015 


s: 939 
logit 939 : -0.4573588 
logit mean 939 : -0.3983357 
logit RMSE 939 : 0.05630687 

boosting 939 : -0.486534 
boosting mean 939 : -0.4967894 
boosting RMSE 939 : 0.1516485 

forest 939 : -0.3895528 
forest mean 939 : -0.3623146 
forest RMSE 939 : 0.06281522 

nnet 939 : -0.6480634 
nnet mean 939 : -0.4303166 
nnet RMSE 939 : 0.1503396 


s: 940 
logit 940 : -0.4088241 
logit mean 940 : -0.3983469 
logit RMSE 940 : 0.05627764 

boosting 940 : -0.3573657 
boosting mean 940 : -0.4966411 
boosting RMSE 940 : 0.1515742 

forest 940 : -0.3254764 
forest mean 940 : -0.3622754 
forest RMSE 940 : 0.06282883 

nnet 940 : -0.3424953 
nnet mean 940 : -0.4302232 
nnet RMSE 940 : 0.1502713 


s: 941 
logit 941 : -0.4317672 
logit mean 941 : -0.3983824 
logit RMSE 941 : 0.05625726 

boosting 941 : -0.5807132 
boosting mean 941 : -0.4967305 
boosting RMSE 941 : 0.1516082 

forest 941 : -0.3314759 
forest mean 941 : -0.3622427 
forest RMSE 941 : 0.06283516 

nnet 941 : -0.1629494 
nnet mean 941 : -0.4299391 
nnet RMSE 941 : 0.1503901 


s: 942 
logit 942 : -0.3828006 
logit mean 942 : -0.3983659 
logit RMSE 942 : 0.05623019 

boosting 942 : -0.4546354 
boosting mean 942 : -0.4966858 
boosting RMSE 942 : 0.1515381 

forest 942 : -0.3042461 
forest mean 942 : -0.3621811 
forest RMSE 942 : 0.06287924 

nnet 942 : -0.4170407 
nnet mean 942 : -0.4299255 
nnet RMSE 942 : 0.1503113 


s: 943 
logit 943 : -0.459754 
logit mean 943 : -0.398431 
logit RMSE 943 : 0.05623404 

boosting 943 : -0.4094660 
boosting mean 943 : -0.4965933 
boosting RMSE 943 : 0.1514581 

forest 943 : -0.4096962 
forest mean 943 : -0.3622315 
forest RMSE 943 : 0.06284669 

nnet 943 : -0.2129352 
nnet mean 943 : -0.4296953 
nnet RMSE 943 : 0.150355 


s: 944 
logit 944 : -0.4376248 
logit mean 944 : -0.3984725 
logit RMSE 944 : 0.05621759 

boosting 944 : -0.2457853 
boosting mean 944 : -0.4963276 
boosting RMSE 944 : 0.1514610 

forest 944 : -0.4110359 
forest mean 944 : -0.3622832 
forest RMSE 944 : 0.06281442 

nnet 944 : -0.5933314 
nnet mean 944 : -0.4298687 
nnet RMSE 944 : 0.1504070 


s: 945 
logit 945 : -0.4406983 
logit mean 945 : -0.3985172 
logit RMSE 945 : 0.05620343 

boosting 945 : -0.5087989 
boosting mean 945 : -0.4963408 
boosting RMSE 945 : 0.1514222 

forest 945 : -0.3173993 
forest mean 945 : -0.3622357 
forest RMSE 945 : 0.06283865 

nnet 945 : -0.3216942 
nnet mean 945 : -0.4297542 
nnet RMSE 945 : 0.150349 


s: 946 
logit 946 : -0.330115 
logit mean 946 : -0.3984449 
logit RMSE 946 : 0.05621965 

boosting 946 : -0.3803885 
boosting mean 946 : -0.4962182 
boosting RMSE 946 : 0.1513435 

forest 946 : -0.4182152 
forest mean 946 : -0.3622949 
forest RMSE 946 : 0.06280822 

nnet 946 : -0.342803 
nnet mean 946 : -0.4296623 
nnet RMSE 946 : 0.1502810 


s: 947 
logit 947 : -0.4310973 
logit mean 947 : -0.3984793 
logit RMSE 947 : 0.05619905 

boosting 947 : -0.5458764 
boosting mean 947 : -0.4962707 
boosting RMSE 947 : 0.1513379 

forest 947 : -0.3832647 
forest mean 947 : -0.3623170 
forest RMSE 947 : 0.0627774 

nnet 947 : -0.6483344 
nnet mean 947 : -0.4298932 
nnet RMSE 947 : 0.1504183 


s: 948 
logit 948 : -0.3462722 
logit mean 948 : -0.3984243 
logit RMSE 948 : 0.0561965 

boosting 948 : -0.3298598 
boosting mean 948 : -0.4960951 
boosting RMSE 948 : 0.1512752 

forest 948 : -0.3545185 
forest mean 948 : -0.3623088 
forest RMSE 948 : 0.06276167 

nnet 948 : -0.1861075 
nnet mean 948 : -0.4296361 
nnet RMSE 948 : 0.1504993 


s: 949 
logit 949 : -0.4207054 
logit mean 949 : -0.3984477 
logit RMSE 949 : 0.0561709 

boosting 949 : -0.481115 
boosting mean 949 : -0.4960793 
boosting RMSE 949 : 0.1512184 

forest 949 : -0.3262068 
forest mean 949 : -0.3622708 
forest RMSE 949 : 0.06277431 

nnet 949 : -0.6940507 
nnet mean 949 : -0.4299147 
nnet RMSE 949 : 0.1507226 


s: 950 
logit 950 : -0.4196785 
logit mean 950 : -0.3984701 
logit RMSE 950 : 0.05614496 

boosting 950 : -0.4777809 
boosting mean 950 : -0.4960601 
boosting RMSE 950 : 0.1511598 

forest 950 : -0.3661435 
forest mean 950 : -0.3622749 
forest RMSE 950 : 0.06275088 

nnet 950 : -0.6518428 
nnet mean 950 : -0.4301483 
nnet RMSE 950 : 0.1508647 


s: 951 
logit 951 : -0.3491116 
logit mean 951 : -0.3984182 
logit RMSE 951 : 0.05613969 

boosting 951 : -0.4563583 
boosting mean 951 : -0.4960183 
boosting RMSE 951 : 0.1510914 

forest 951 : -0.3584826 
forest mean 951 : -0.3622709 
forest RMSE 951 : 0.06273233 

nnet 951 : -0.6107282 
nnet mean 951 : -0.4303382 
nnet RMSE 951 : 0.1509401 


s: 952 
logit 952 : -0.4535395 
logit mean 952 : -0.3984761 
logit RMSE 952 : 0.05613702 

boosting 952 : -0.4460091 
boosting mean 952 : -0.4959658 
boosting RMSE 952 : 0.1510194 

forest 952 : -0.4073791 
forest mean 952 : -0.3623182 
forest RMSE 952 : 0.06269983 

nnet 952 : -0.4744082 
nnet mean 952 : -0.4303845 
nnet RMSE 952 : 0.1508801 


s: 953 
logit 953 : -0.4558487 
logit mean 953 : -0.3985363 
logit RMSE 953 : 0.05613672 

boosting 953 : -0.4954793 
boosting mean 953 : -0.4959653 
boosting RMSE 953 : 0.1509718 

forest 953 : -0.3522168 
forest mean 953 : -0.3623076 
forest RMSE 953 : 0.06268604 

nnet 953 : -0.5584061 
nnet mean 953 : -0.4305188 
nnet RMSE 953 : 0.1508882 


s: 954 
logit 954 : -0.3664606 
logit mean 954 : -0.3985027 
logit RMSE 954 : 0.0561178 

boosting 954 : -0.3746642 
boosting mean 954 : -0.4958381 
boosting RMSE 954 : 0.1508949 

forest 954 : -0.2556968 
forest mean 954 : -0.3621959 
forest RMSE 954 : 0.06282713 

nnet 954 : -0.3413012 
nnet mean 954 : -0.4304253 
nnet RMSE 954 : 0.1508210 


s: 955 
logit 955 : -0.4070955 
logit mean 955 : -0.3985117 
logit RMSE 955 : 0.05608888 

boosting 955 : -0.4646185 
boosting mean 955 : -0.4958055 
boosting RMSE 955 : 0.1508304 

forest 955 : -0.4169476 
forest mean 955 : -0.3622532 
forest RMSE 955 : 0.06279662 

nnet 955 : -0.3463728 
nnet mean 955 : -0.4303373 
nnet RMSE 955 : 0.1507520 


s: 956 
logit 956 : -0.3996368 
logit mean 956 : -0.3985128 
logit RMSE 956 : 0.05605954 

boosting 956 : -0.1722270 
boosting mean 956 : -0.495467 
boosting RMSE 956 : 0.1509313 

forest 956 : -0.3233138 
forest mean 956 : -0.3622125 
forest RMSE 956 : 0.06281275 

nnet 956 : -0.4997523 
nnet mean 956 : -0.4304099 
nnet RMSE 956 : 0.1507077 


s: 957 
logit 957 : -0.3528905 
logit mean 957 : -0.3984652 
logit RMSE 957 : 0.05605093 

boosting 957 : -0.5029947 
boosting mean 957 : -0.4954748 
boosting RMSE 957 : 0.1508892 

forest 957 : -0.3999636 
forest mean 957 : -0.3622519 
forest RMSE 957 : 0.06277993 

nnet 957 : -0.3715180 
nnet mean 957 : -0.4303483 
nnet RMSE 957 : 0.1506317 


s: 958 
logit 958 : -0.4076647 
logit mean 958 : -0.3984748 
logit RMSE 958 : 0.05602222 

boosting 958 : -0.5511617 
boosting mean 958 : -0.495533 
boosting RMSE 958 : 0.1508895 

forest 958 : -0.4164962 
forest mean 958 : -0.3623086 
forest RMSE 958 : 0.06274941 

nnet 958 : -0.3929458 
nnet mean 958 : -0.4303093 
nnet RMSE 958 : 0.1505533 


s: 959 
logit 959 : -0.4155591 
logit mean 959 : -0.3984926 
logit RMSE 959 : 0.05599526 

boosting 959 : -0.6525188 
boosting mean 959 : -0.4956967 
boosting RMSE 959 : 0.1510311 

forest 959 : -0.4410605 
forest mean 959 : -0.3623907 
forest RMSE 959 : 0.0627307 

nnet 959 : -0.5872794 
nnet mean 959 : -0.430473 
nnet RMSE 959 : 0.1505962 


s: 960 
logit 960 : -0.4490945 
logit mean 960 : -0.3985453 
logit RMSE 960 : 0.05598851 

boosting 960 : -0.4579606 
boosting mean 960 : -0.4956574 
boosting RMSE 960 : 0.150964 

forest 960 : -0.4472976 
forest mean 960 : -0.3624791 
forest RMSE 960 : 0.0627166 

nnet 960 : -0.5686032 
nnet mean 960 : -0.4306169 
nnet RMSE 960 : 0.1506161 


s: 961 
logit 961 : -0.4657358 
logit mean 961 : -0.3986152 
logit RMSE 961 : 0.05599954 

boosting 961 : -0.4574792 
boosting mean 961 : -0.4956176 
boosting RMSE 961 : 0.1508968 

forest 961 : -0.3468621 
forest mean 961 : -0.3624629 
forest RMSE 961 : 0.0627074 

nnet 961 : -0.8013804 
nnet mean 961 : -0.4310027 
nnet RMSE 961 : 0.1510935 


s: 962 
logit 962 : -0.2974651 
logit mean 962 : -0.3985101 
logit RMSE 962 : 0.05606797 

boosting 962 : -0.3797225 
boosting mean 962 : -0.4954972 
boosting RMSE 962 : 0.1508198 

forest 962 : -0.2925223 
forest mean 962 : -0.3623902 
forest RMSE 962 : 0.06277052 

nnet 962 : 0.04698157 
nnet mean 962 : -0.4305058 
nnet RMSE 962 : 0.1517010 


s: 963 
logit 963 : -0.4539626 
logit mean 963 : -0.3985677 
logit RMSE 963 : 0.05606582 

boosting 963 : -0.8323145 
boosting mean 963 : -0.4958469 
boosting RMSE 963 : 0.1513838 

forest 963 : -0.3599496 
forest mean 963 : -0.3623876 
forest RMSE 963 : 0.06275119 

nnet 963 : -0.5268205 
nnet mean 963 : -0.4306058 
nnet RMSE 963 : 0.1516773 


s: 964 
logit 964 : -0.4550799 
logit mean 964 : -0.3986263 
logit RMSE 964 : 0.05606481 

boosting 964 : -0.5147979 
boosting mean 964 : -0.4958666 
boosting RMSE 964 : 0.1513505 

forest 964 : -0.3944078 
forest mean 964 : -0.3624209 
forest RMSE 964 : 0.06271889 

nnet 964 : -0.5726664 
nnet mean 964 : -0.4307532 
nnet RMSE 964 : 0.1517006 


s: 965 
logit 965 : -0.3313055 
logit mean 965 : -0.3985565 
logit RMSE 965 : 0.05607937 

boosting 965 : -0.3322083 
boosting mean 965 : -0.495697 
boosting RMSE 965 : 0.1512878 

forest 965 : -0.2764777 
forest mean 965 : -0.3623318 
forest RMSE 965 : 0.06281237 

nnet 965 : -0.5735794 
nnet mean 965 : -0.4309012 
nnet RMSE 965 : 0.1517249 


s: 966 
logit 966 : -0.4384649 
logit mean 966 : -0.3985978 
logit RMSE 966 : 0.05606399 

boosting 966 : -0.5327486 
boosting mean 966 : -0.4957353 
boosting RMSE 966 : 0.1512697 

forest 966 : -0.3591308 
forest mean 966 : -0.3623285 
forest RMSE 966 : 0.06279362 

nnet 966 : -0.6007726 
nnet mean 966 : -0.4310771 
nnet RMSE 966 : 0.1517839 


s: 967 
logit 967 : -0.3611044 
logit mean 967 : -0.3985591 
logit RMSE 967 : 0.05604896 

boosting 967 : -0.7903695 
boosting mean 967 : -0.49604 
boosting RMSE 967 : 0.1517118 

forest 967 : -0.3440228 
forest mean 967 : -0.3623096 
forest RMSE 967 : 0.06278696 

nnet 967 : -0.08630903 
nnet mean 967 : -0.4307205 
nnet RMSE 967 : 0.1520404 


s: 968 
logit 968 : -0.4367687 
logit mean 968 : -0.3985985 
logit RMSE 968 : 0.05603246 

boosting 968 : -0.3784037 
boosting mean 968 : -0.4959185 
boosting RMSE 968 : 0.1516350 

forest 968 : -0.3126449 
forest mean 968 : -0.3622582 
forest RMSE 968 : 0.0628173 

nnet 968 : -0.3962565 
nnet mean 968 : -0.4306849 
nnet RMSE 968 : 0.1519619 


s: 969 
logit 969 : -0.4980515 
logit mean 969 : -0.3987012 
logit RMSE 969 : 0.05609205 

boosting 969 : -0.6237894 
boosting mean 969 : -0.4960505 
boosting RMSE 969 : 0.1517271 

forest 969 : -0.2787611 
forest mean 969 : -0.3621721 
forest RMSE 969 : 0.06290556 

nnet 969 : -0.4946196 
nnet mean 969 : -0.4307509 
nnet RMSE 969 : 0.1519139 


s: 970 
logit 970 : -0.4010803 
logit mean 970 : -0.3987036 
logit RMSE 970 : 0.05606314 

boosting 970 : -0.509517 
boosting mean 970 : -0.4960644 
boosting RMSE 970 : 0.1516897 

forest 970 : -0.2879098 
forest mean 970 : -0.3620955 
forest RMSE 970 : 0.06297605 

nnet 970 : -0.5758696 
nnet mean 970 : -0.4309005 
nnet RMSE 970 : 0.1519405 


s: 971 
logit 971 : -0.4483818 
logit mean 971 : -0.3987548 
logit RMSE 971 : 0.05605577 

boosting 971 : -0.4475085 
boosting mean 971 : -0.4960143 
boosting RMSE 971 : 0.1516192 

forest 971 : -0.4102698 
forest mean 971 : -0.3621451 
forest RMSE 971 : 0.06294448 

nnet 971 : -0.3901957 
nnet mean 971 : -0.4308586 
nnet RMSE 971 : 0.1518626 


s: 972 
logit 972 : -0.4134736 
logit mean 972 : -0.3987699 
logit RMSE 972 : 0.0560286 

boosting 972 : -0.6728183 
boosting mean 972 : -0.4961962 
boosting RMSE 972 : 0.1517936 

forest 972 : -0.3426667 
forest mean 972 : -0.3621251 
forest RMSE 972 : 0.06293896 

nnet 972 : -0.2846318 
nnet mean 972 : -0.4307081 
nnet RMSE 972 : 0.1518295 


s: 973 
logit 973 : -0.4793548 
logit mean 973 : -0.3988527 
logit RMSE 973 : 0.05605755 

boosting 973 : -0.4975752 
boosting mean 973 : -0.4961977 
boosting RMSE 973 : 0.1517478 

forest 973 : -0.3716029 
forest mean 973 : -0.3621348 
forest RMSE 973 : 0.0629132 

nnet 973 : -0.5560572 
nnet mean 973 : -0.430837 
nnet RMSE 973 : 0.1518339 


s: 974 
logit 974 : -0.3195509 
logit mean 974 : -0.3987713 
logit RMSE 974 : 0.05608804 

boosting 974 : -0.5047555 
boosting mean 974 : -0.4962064 
boosting RMSE 974 : 0.1517071 

forest 974 : -0.4016032 
forest mean 974 : -0.3621754 
forest RMSE 974 : 0.06288091 

nnet 974 : -0.5401474 
nnet mean 974 : -0.4309492 
nnet RMSE 974 : 0.1518224 


s: 975 
logit 975 : -0.345092 
logit mean 975 : -0.3987163 
logit RMSE 975 : 0.05608684 

boosting 975 : -0.3951085 
boosting mean 975 : -0.4961028 
boosting RMSE 975 : 0.1516293 

forest 975 : -0.3251205 
forest mean 975 : -0.3621373 
forest RMSE 975 : 0.06289439 

nnet 975 : -0.1381214 
nnet mean 975 : -0.4306489 
nnet RMSE 975 : 0.1519761 


s: 976 
logit 976 : -0.3464099 
logit mean 976 : -0.3986627 
logit RMSE 976 : 0.05608434 

boosting 976 : -0.5150279 
boosting mean 976 : -0.4961221 
boosting RMSE 976 : 0.1515963 

forest 976 : -0.3844239 
forest mean 976 : -0.3621602 
forest RMSE 976 : 0.06286414 

nnet 976 : -0.5378143 
nnet mean 976 : -0.4307587 
nnet RMSE 976 : 0.1519623 


s: 977 
logit 977 : -0.3662009 
logit mean 977 : -0.3986294 
logit RMSE 977 : 0.05606606 

boosting 977 : -0.4570352 
boosting mean 977 : -0.4960821 
boosting RMSE 977 : 0.1515297 

forest 977 : -0.3393429 
forest mean 977 : -0.3621368 
forest RMSE 977 : 0.06286192 

nnet 977 : -0.676416 
nnet mean 977 : -0.4310101 
nnet RMSE 977 : 0.1521417 


s: 978 
logit 978 : -0.3550102 
logit mean 978 : -0.3985848 
logit RMSE 978 : 0.05605585 

boosting 978 : -0.4150803 
boosting mean 978 : -0.4959993 
boosting RMSE 978 : 0.151453 

forest 978 : -0.3133896 
forest mean 978 : -0.362087 
forest RMSE 978 : 0.06289078 

nnet 978 : -0.6754815 
nnet mean 978 : -0.4312601 
nnet RMSE 978 : 0.1523189 


s: 979 
logit 979 : -0.3085466 
logit mean 979 : -0.3984929 
logit RMSE 979 : 0.0561034 

boosting 979 : -0.4662692 
boosting mean 979 : -0.4959689 
boosting RMSE 979 : 0.1513904 

forest 979 : -0.3983203 
forest mean 979 : -0.362124 
forest RMSE 979 : 0.06285868 

nnet 979 : -0.4977947 
nnet mean 979 : -0.431328 
nnet RMSE 979 : 0.1522731 


s: 980 
logit 980 : -0.2680040 
logit mean 980 : -0.3983597 
logit RMSE 980 : 0.05623307 

boosting 980 : -0.5539543 
boosting mean 980 : -0.4960281 
boosting RMSE 980 : 0.1513931 

forest 980 : -0.4261804 
forest mean 980 : -0.3621894 
forest RMSE 980 : 0.06283217 

nnet 980 : -0.3726067 
nnet mean 980 : -0.4312681 
nnet RMSE 980 : 0.1521979 


s: 981 
logit 981 : -0.3863003 
logit mean 981 : -0.3983474 
logit RMSE 981 : 0.0562061 

boosting 981 : -0.6325742 
boosting mean 981 : -0.4961673 
boosting RMSE 981 : 0.151498 

forest 981 : -0.4273083 
forest mean 981 : -0.3622557 
forest RMSE 981 : 0.06280618 

nnet 981 : -0.4965897 
nnet mean 981 : -0.4313347 
nnet RMSE 981 : 0.1521516 


s: 982 
logit 982 : -0.2917595 
logit mean 982 : -0.3982389 
logit RMSE 982 : 0.05628357 

boosting 982 : -0.3148624 
boosting mean 982 : -0.4959827 
boosting RMSE 982 : 0.1514452 

forest 982 : -0.2516378 
forest mean 982 : -0.3621431 
forest RMSE 982 : 0.06295248 

nnet 982 : -0.2665379 
nnet mean 982 : -0.4311669 
nnet RMSE 982 : 0.1521337 


s: 983 
logit 983 : -0.4654181 
logit mean 983 : -0.3983072 
logit RMSE 983 : 0.05629361 

boosting 983 : -0.3652046 
boosting mean 983 : -0.4958496 
boosting RMSE 983 : 0.1513722 

forest 983 : -0.3641989 
forest mean 983 : -0.3621452 
forest RMSE 983 : 0.06293081 

nnet 983 : -0.2642851 
nnet mean 983 : -0.4309971 
nnet RMSE 983 : 0.1521179 


s: 984 
logit 984 : -0.3494335 
logit mean 984 : -0.3982576 
logit RMSE 984 : 0.05628809 

boosting 984 : -0.3151244 
boosting mean 984 : -0.495666 
boosting RMSE 984 : 0.1513195 

forest 984 : -0.3717946 
forest mean 984 : -0.362155 
forest RMSE 984 : 0.06290525 

nnet 984 : -0.5295329 
nnet mean 984 : -0.4310973 
nnet RMSE 984 : 0.1520967 


s: 985 
logit 985 : -0.4226498 
logit mean 985 : -0.3982823 
logit RMSE 985 : 0.05626414 

boosting 985 : -0.5063976 
boosting mean 985 : -0.4956769 
boosting RMSE 985 : 0.1512806 

forest 985 : -0.3494269 
forest mean 985 : -0.3621421 
forest RMSE 985 : 0.06289396 

nnet 985 : -0.8396018 
nnet mean 985 : -0.431512 
nnet RMSE 985 : 0.1526634 


s: 986 
logit 986 : -0.3413824 
logit mean 986 : -0.3982246 
logit RMSE 986 : 0.05626657 

boosting 986 : -0.2679853 
boosting mean 986 : -0.4954459 
boosting RMSE 986 : 0.1512623 

forest 986 : -0.3867321 
forest mean 986 : -0.362167 
forest RMSE 986 : 0.06286348 

nnet 986 : -0.5678527 
nnet mean 986 : -0.4316503 
nnet RMSE 986 : 0.1526795 


s: 987 
logit 987 : -0.369745 
logit mean 987 : -0.3981958 
logit RMSE 987 : 0.05624631 

boosting 987 : -0.387761 
boosting mean 987 : -0.4953368 
boosting RMSE 987 : 0.1511862 

forest 987 : -0.3800685 
forest mean 987 : -0.3621851 
forest RMSE 987 : 0.06283483 

nnet 987 : -0.2556294 
nnet mean 987 : -0.4314719 
nnet RMSE 987 : 0.1526714 


s: 988 
logit 988 : -0.3641111 
logit mean 988 : -0.3981613 
logit RMSE 988 : 0.05622943 

boosting 988 : -0.5038234 
boosting mean 988 : -0.4953454 
boosting RMSE 988 : 0.1511458 

forest 988 : -0.3994075 
forest mean 988 : -0.3622228 
forest RMSE 988 : 0.06280302 

nnet 988 : -0.4668475 
nnet mean 988 : -0.4315077 
nnet RMSE 988 : 0.1526089 


s: 989 
logit 989 : -0.5007069 
logit mean 989 : -0.3982650 
logit RMSE 989 : 0.05629215 

boosting 989 : -0.4081484 
boosting mean 989 : -0.4952573 
boosting RMSE 989 : 0.1510695 

forest 989 : -0.3941769 
forest mean 989 : -0.3622551 
forest RMSE 989 : 0.06277154 

nnet 989 : -0.7233085 
nnet mean 989 : -0.4318028 
nnet RMSE 989 : 0.1528778 


s: 990 
logit 990 : -0.4908246 
logit mean 990 : -0.3983584 
logit RMSE 990 : 0.05633772 

boosting 990 : -0.3809712 
boosting mean 990 : -0.4951418 
boosting RMSE 990 : 0.1509944 

forest 990 : -0.3988423 
forest mean 990 : -0.3622921 
forest RMSE 990 : 0.06273984 

nnet 990 : -0.6072952 
nnet mean 990 : -0.43198 
nnet RMSE 990 : 0.1529425 


s: 991 
logit 991 : -0.4280638 
logit mean 991 : -0.3983884 
logit RMSE 991 : 0.05631634 

boosting 991 : -0.5780927 
boosting mean 991 : -0.4952255 
boosting RMSE 991 : 0.1510242 

forest 991 : -0.3413152 
forest mean 991 : -0.3622709 
forest RMSE 991 : 0.06273588 

nnet 991 : -0.3844662 
nnet mean 991 : -0.4319321 
nnet RMSE 991 : 0.1528661 


s: 992 
logit 992 : -0.3729084 
logit mean 992 : -0.3983627 
logit RMSE 992 : 0.05629452 

boosting 992 : -0.5653727 
boosting mean 992 : -0.4952962 
boosting RMSE 992 : 0.1510394 

forest 992 : -0.4359328 
forest mean 992 : -0.3623452 
forest RMSE 992 : 0.06271463 

nnet 992 : -0.4491319 
nnet mean 992 : -0.4319494 
nnet RMSE 992 : 0.1527970 


s: 993 
logit 993 : -0.4158434 
logit mean 993 : -0.3983803 
logit RMSE 993 : 0.05626841 

boosting 993 : -0.425379 
boosting mean 993 : -0.4952258 
boosting RMSE 993 : 0.1509655 

forest 993 : -0.3838389 
forest mean 993 : -0.3623668 
forest RMSE 993 : 0.06268514 

nnet 993 : -0.4053904 
nnet mean 993 : -0.4319227 
nnet RMSE 993 : 0.1527202 


s: 994 
logit 994 : -0.425445 
logit mean 994 : -0.3984076 
logit RMSE 994 : 0.05624589 

boosting 994 : -0.3831752 
boosting mean 994 : -0.4951131 
boosting RMSE 994 : 0.1508905 

forest 994 : -0.3730062 
forest mean 994 : -0.3623775 
forest RMSE 994 : 0.06265945 

nnet 994 : -0.5461873 
nnet mean 994 : -0.4320376 
nnet RMSE 994 : 0.1527137 


s: 995 
logit 995 : -0.3166243 
logit mean 995 : -0.3983254 
logit RMSE 995 : 0.05627972 

boosting 995 : -0.2957835 
boosting mean 995 : -0.4949128 
boosting RMSE 995 : 0.1508508 

forest 995 : -0.3370820 
forest mean 995 : -0.3623521 
forest RMSE 995 : 0.06265971 

nnet 995 : -0.2386747 
nnet mean 995 : -0.4318433 
nnet RMSE 995 : 0.1527226 


s: 996 
logit 996 : -0.4826894 
logit mean 996 : -0.3984101 
logit RMSE 996 : 0.05631245 

boosting 996 : -0.2767449 
boosting mean 996 : -0.4946937 
boosting RMSE 996 : 0.1508256 

forest 996 : -0.4495709 
forest mean 996 : -0.3624397 
forest RMSE 996 : 0.06264794 

nnet 996 : -0.1675308 
nnet mean 996 : -0.4315779 
nnet RMSE 996 : 0.1528236 


s: 997 
logit 997 : -0.4287123 
logit mean 997 : -0.3984405 
logit RMSE 997 : 0.05629155 

boosting 997 : -0.5952924 
boosting mean 997 : -0.4947946 
boosting RMSE 997 : 0.1508768 

forest 997 : -0.3628089 
forest mean 997 : -0.3624400 
forest RMSE 997 : 0.06262759 

nnet 997 : -0.3572309 
nnet mean 997 : -0.4315034 
nnet RMSE 997 : 0.1527529 


s: 998 
logit 998 : -0.4139681 
logit mean 998 : -0.398456 
logit RMSE 998 : 0.05626508 

boosting 998 : -0.4825252 
boosting mean 998 : -0.4947823 
boosting RMSE 998 : 0.1508238 

forest 998 : -0.3352761 
forest mean 998 : -0.3624128 
forest RMSE 998 : 0.06262972 

nnet 998 : -0.3573542 
nnet mean 998 : -0.4314291 
nnet RMSE 998 : 0.1526823 


s: 999 
logit 999 : -0.395582 
logit mean 999 : -0.3984532 
logit RMSE 999 : 0.05623708 

boosting 999 : -0.5805025 
boosting mean 999 : -0.4948681 
boosting RMSE 999 : 0.1508564 

forest 999 : -0.3925547 
forest mean 999 : -0.362443 
forest RMSE 999 : 0.06259881 

nnet 999 : -0.3004741 
nnet mean 999 : -0.431298 
nnet RMSE 999 : 0.1526384 


s: 1000 
logit 1000 : -0.3666912 
logit mean 1000 : -0.3984214 
logit RMSE 1000 : 0.05621883 

boosting 1000 : -0.528065 
boosting mean 1000 : -0.4949013 
boosting RMSE 1000 : 0.1508354 

forest 1000 : -0.3553755 
forest mean 1000 : -0.3624359 
forest RMSE 1000 : 0.06258342 

nnet 1000 : -0.3976541 
nnet mean 1000 : -0.4312643 
nnet RMSE 1000 : 0.1525621 
There were 50 or more warnings (use warnings() to see the first 50)
> 
> 
> rm(sdta)
> save.image("RData.sims.A.nobs1000",compress="bzip2")
> 
> proc.time()
    user   system  elapsed 
46665.46    14.62 50286.50 
